Welcome to toffee TV to the Everton news daily Jordan Pickford is closer signing a new contract with Everton according to sources He's only got you know less than 18 months left on his current contract. So Be good to get him pinned down to new one ASAP and that breaks pretty much protecting your asset then because you know It was England's number one Everton, you know down there at the bottom of the table So I can I would be surprised if a bit came in in the summer.  He's got left in him at Tottenham So I can personally see a bit coming from them. So you'd rather a player on four or five year deal Then 18 months with it with a bit coming in. So As well as what supposed one of them things and I'm sure he'd be glad to say ever soon Is that thing of you know, he's England's number one Do you want not want to go somewhere else at the edge of 30 whatever he is and try and win a trophy? But for him, you know, he's not a big club anyway might not be where You know where the club should be but You know still England's number one. He's he's he's doing pretty well since that Darby and lockdown and feel the tune ill to no win. He's been really consistent generally No, once over the season last season, he's been quite consistent. So we deserve the contract in my opinion It's just up to him whether want to take it and I think he does and if it if a bit does come in Then it'll be, you know, quite a substantial one Having what four or five years on a deal around the 18 months But yeah, Jordan Pickford is close to signing a new deal Everton have been fined following failure to control their plays in an incident in the Merseyside Darby this was the a bit of a bust up which For me just started was just complete what I've from Jordan Pickford going over to Robertson as soon as he got Laugh that you just started smiling Pickford For me, I just think it's all a bit all a bit nonsense if you see it against Lees It's a bit more passionate, you know plays really getting each other's faces and throwing digs and stuff But that stuff and that one of the dad was just nonsense for me But everything I've been fined 40,000 pounds and a little people have been fined 25,000 pounds Which at first I was a bit like Why why we've been fine more, but I'm guessing just because we started it something I don't know and probably caught Cody grabbing Robertson and you know shouting f off at him. I don't know but It is what it is. The only thing we've got him is You know what happened against Leeds, but Tyler Adams started that so if if are we gonna get charged again? But his leads gonna get charged more this time We're gonna get 25,000 pound charge. Are they gonna get 40,000 pound charge or are we gonna get charged even more? Because it's two times in a row. It's happened, but they started that one lead so Interesting to see what happens, but this is like I Said it the day these things now. It's part of the game The same thing with it. I've mentioned a couple times the yellow card was the referee's passion things happening heat of a moment Yeah, like I said that message I doubt you want to shut up a blog fight plays acting hard when they're not But like stuff like Leeds, it's just a bit of it's just passions wouldn't hide here in a games no no And you both you both need to win you both down battling renegation these things happen It's part of the game for me. So, you know, it's a small You know 40 grand in terms of you know, a club fine. It's just small small small fine, but You know, I suppose it's the what it stands for and everything I've been fine more than the More than live on this one which shows that they reckon Everton with the You know the seeing that started it so we're interested to see what happens with the Leeds game as well If everything's gonna come if anything's gonna come from that Speaking of Liverpool Carlo Ancelotti returned to me I decided last night to play Liverpool in the UEFA Champions League Anfield he said a nice little comment. He said it's good to come back because he's still never Tony, which is nice I wasn't too bothered when he left these he's You know leaving a club, which you know, we don't let didn't have a lot of money to spend in the summer And he's gone to a Madrid won a Champions League won the league And I don't think you'll win a league in this season, but something really well, but you know great start to You know the first leg of this round With a 5-2 in an field which also put a nice smile on some of the Tony's faces They've been giving us some stick so I left the derby You know they cried in that we're gonna beat them and then they laughed at us when we did in some they've been crying in Especially in the studio laughing at where we're on the table. So Just to see them go tune it up and then get beat five to I know a few people said Oh, you know, it's too early to laugh because they've got another leg.  They got no chance the crap And moving on Conor Corey has pray Shawn Dyches training in an exclusive interview with Everton He says some interesting things. He says We have to be pushing each other every single day on the training pitch I think that's where winners and losers are made and just on that my opinion. That's probably come from Shawn Dyches, you know Getting them really really well drilled and you can see on the pitch and the games like Lee's and Arsenal Training has to be competitive at all times not to the point where you're kicking lumps out of each other But in terms of being desperate to win Contribute with a goal or an assist or Or to block a tackle. That's where it starts and again that ties into a you know making the plays where she impads in training Not wearing hats and stuff because it's something you don't see in the game So of course you want to teach you want to treat training like it's a game If you have that every day training then it becomes normal to carry that onto the weekend That's where we're getting to the gaffer helps with that Competitiveness and there's a little and there's little forfeits in this in the sessions that you don't want to be an end-off Nose flicks a flicks and all kinds it's up to us as players to take the responsibility to carry that through And we're doing absolutely everything we can to ensure that is the case Yeah, we've had we've had stuff like this a lot, you know, we've had Plays praise and every manager we've had certainly Lampard. I think the plays really got on what most of the plays got on when Lampard really well You know, so for me that the end result is Other proof is is what happens on a weekend and so far two out of three games. We've looked good Or it certainly worked hard like you said, they're doing in training. So for me it is just we'll keep that up then keep doing in training keep doing on a weekend and Then you might be safe, but You know, we've already after a week of dice being in charge We've got to live up here and we dropped so we know that performance level drops off We've got a good we've got to keep that performance level that we've been playing at home in our away games You want a chance to stay and up you've got to pick points up as much as we can. So I Think you get to the end of season with one One away win, which was Southampton. I think we're very lucky to say up in my opinion. So Yeah, anyway, finally from Everton striker Paul Wilkinson has retrospectively been given a league title league winners medal for 1984-85 season He played five games in that season, but due to rules and regulations Because he only played five games wasn't given a league winners medal. He came from Greenfield town that season But because of a real change, he's been allowed to be given a medal by Everton, which is which is good for him What 30? 38 years later, whatever something like that Yeah, quick maps for you there. Yeah, that's what the news for today. That's a nice little finishing story for Paul Wilkinson there But yeah, let me know your thoughts and what corner corner code I have to say about Sean Dyche Let me know your thoughts about the fine. What do you make of Everton being fine? Well, they live a pool for the little incidents in the motorcycle derby Make sure you like this video make sure to subscribe to the channel if you want more videos including live daily exclusive videos Then join us on toffee TV premier. There will be a QR code on the screen in two seconds. Thanks for watching. See you later


Hey everybody, it's Hari Swaminathan from optiontiger.com. It's Tuesday, April 2nd and we did some good day trades today. And first one was Amazon which we had as a spread overnight and it came back and it made up $797 today. But the real trade was Facebook in the pre-market. Facebook was showing real good signs of moving up. Let me put Facebook here on the 5-day, 5-minute as you can see in the pre-market. The signals had already signaled that Facebook was going to jump and it sent it into the very bullish and so we were able to catch this wave. Actually, we didn't even catch it all the way. We got it. In fact, let's go take a look at that. If you look at the orders, filled orders, here Facebook, here at $931, we got into Facebook at $150. And there was 20 contracts, I had meant to put only 10, but anyway it executed at 20, worked out very well. And then at 936 within 5 minutes sold 20 at 2.36. So that's almost, that's about 86 cents profit. So on 20 contracts that turned out to be $1,720, a very, very good return. So 20 contracts on at 1.5 would be a $3,000 trade and $1,700. So we're looking at a 60% return on Facebook trade itself. So these are the two trades, we are still down a little bit on CMG. We have booked about $880, about $900. So we are still down about $900. We probably will take it into tomorrow because CMG looks weak, it's a debit spread anyway. So it's hedged to some extent, but very good going on the day trading signals on trades on Amazon and Facebook today. Hey everybody, it's Hari Swaminathan from optiontiger.com. Recording this swing trade that we did today, I had sent out an alert this morning for Nvidia. It was already up about $363 in the pre-market and we got into this trade on Nvidia for, let me see. This is Nvidia right here. The trade price was $4.15 and this morning it went up an accent the alert that if the profit was more than $400 then I would take it off. And as you can see right here Nvidia is, we sold it at $525. So basically about $1.15 on five contracts that would be about $550. So that was a good trade that we closed today. Hey folks, it's Hari Swaminathan. It is still Tuesday, April 2nd. Markets are about to close in about 20 minutes. As you can see, Apple has had a major move today and it's up just for the day, it's up $900. The position is open is up $645. So it's a trade of about $2,100 and so you can see it's up about 30% over there and that's a great profit. You don't want to let that go. So I'm going to close Apple. Now earlier I closed Nvidia and Nvidia was also about a 25% return, about $550 in profits. Some of the other positions are also doing much better. Tesla is regaining some ground. We just need to recover about $500 here from time decay. Microsoft also is recovering and it's up about $120. Chipotle, which we opened yesterday is still down a little bit, but that's okay. This is just a new trade and we've just opened it yesterday. Adobe was up about $515. Now today it's lost some ground. It's still up $340. As it stands, I'm going to close Apple now and I also have a trade candidate for tomorrow. So let's say if we do, first let me get close Apple here and there we go, closed at $278. So that would be a 30% return there. So if you want a free trial of this day trading signal service, you can go to this Bitly link. It's bitly slash day hyphen signals. Now the day and the D and the S has to be capitals and once you go there, you can get a free trial. You need to sign up there and you'll get a free trial and at the end of one week, if you don't want to continue, you can just send us an email at info at optiontiger.com and we'll give you a full refund. So once again, the Bitly link is bitly slash day hyphen signals with the DNS in caps. Thank you.


Crystal says, I am looking to create a database not sure where is best yet for potential employees. I need to be able to easily search this when a new employee is required, especially on their skill set. What tool would I be best to use on Office 365 or SharePoint? So there's a few. I mean, you've got the whole contact card and people filling in. The details of history that kind of delve back in and profiles and things that you can search across the business. You could set up lists with it. You could set up. There's so many options here, really. So let alone third-party tools that are databases of information. It depends on how much you want the individual to fill it out. But through their contact card and stuff like that really helps. Does Viva have the new people? Yeah, paper card. Is that available yet? It depends on what they got. Are those for external people? Because this is specifically potential employees. So they're trying to keep a database of maybe I want to hire somebody. So they're not giving them a license. So for me, SharePoint or lists make sense. And I can always create a relational database using several SharePoint lists. You make one list with the employees or the person's information. You make another list with all the documentation. You have a lookup field that goes back to the employee or the people list so that you can tag all of the documentation that comes with it. Whatever their search, their resume, any of the other stuff. Maybe a URL to their blog or their website or whatever. And then if you really want to over architect it, you might as well throw a power app on top of that with some galleries in there. So that you can search and scroll through and find the people.  Build the power virtual agent that just you just go and ask. I'm looking for somebody that can help me with this. There you go. Start from Microsoft form. So the person fills it in and puts it in in the first place straight into the Excel document, which you can convert to a list that then does what you will fail. You use a power automate that ingests that information and puts it right into SharePoint. Hashtag better together. Yes.  And now we've got the entire power platform working together with the the anonymized data within Viva insights. We don't know individual but if the organization is large enough, you can tie it to the, you know, that person's profile against the company wide standard. So you can also as part of this automation, identify really how that person's skills and capabilities self reported and and team reported ways against those company wide standards. Are they really experts, you know, so yeah, there's a lot that you can go build. I think we're doing this partly ingest but it's the it really is like what are you trying to do? How much time do you have? I would love to build that. That'd be fun. There are people that you can hire. That's not my idea of fun. That's not my idea of fun. That sounds like pure hill to me. SharePoint list, a Microsoft list that has that depending on an even simpler solution there. It just has it's a matter of, you know, creating the columns capturing the skills as part of each of those profiles. You know, they're looking because my first thought is yeah for potential employees would be like well like a vendor list like a consultant list. Exactly. Who are the people that I could tap into that have these skills that we need for for this problem. The downside would be. I was going to say like pull out the Rolodex folks command. As we're searching for not necessarily the same skills that we're used to the downside would be it's the skills of a project that's a new topic that we're often going out to employ someone that we don't have internally. And that's where you may not have that data capture in the first place. So, you know, if you've got something where you've even scanned in resumes or in some OCR capturing where it then pulls the pulls the information out of resumes of just some of the most random words that you might need to pull as well. Because that's that that's where that gap really comes into play because if you're only taking down the things that you're fairly used to having inside of business and and not the other stuff in your columns, then you're going to have some trouble around that. So that's where you might need to consider what you what you need to capture in the first place. Well, and that's why with external folks it's always going to be, you know, old outdated data as soon as you've captured and published. I mean you'd you'd have to constantly go and pull that in. That's one of the reasons why I love some of the new Viva features that are again we're talking about internal, not external, but that it allows you to go and query like what's happening in the organization and who are the experts based on the work actually being done. That's the vision of what we're moving towards. But externally, unless people are keeping up to date and adding their projects in, you know, the profiles are as fresh as the last time everybody updated. And they'll always be that gap. Yeah. Yeah.


Fantastic to be here at the OpenShift Commons Gathering Data Science. It's a very, very interesting era where we are starting to take a closer look at how data and AI is going to transform a lot of our experiences. I'm Ganesh Harina, I'm with Verizon, Verizon Media. I've been doing data and AI for a very long time over a decade closely. Interesting paradigm shift that I started to see, we were building platforms which were very heavily AI-driven on the cloud, and we're starting to see application demand where we have to start to move these capabilities onto the edge. So throughout the presentation, I'll be citing our experiences in terms of how we look at these applications, how we solve these applications using frameworks, platforms, and so on. But most importantly, I feel very, very blessed to be part of this ecosystem where I am experiencing how the world would be transformed through AI for better experiences, performance efficiencies around healthcare, and then so on. And when you start to take a closer look at it, moving forward five, 10 years, robotic arm surgery is going to be very, very normal. And what that means is a doctor from New York can perform a surgery on a patient in Los Angeles. To me, this is fascinating. And interestingly, when you take a closer look at what's required for all these things to happen, robotics is important. Virtual reality is very important.  And most importantly, we being part of Telco, 5G would enable to converge these technologies to make this capability a reality in years to come. But when we start to ground ourselves and then take a closer look at where we are today, what we are trying to do with ML and AI, a lot of applications that really required massive data on the cloud, applying AI to understand various aspects of the network was one of the area that I was very, very focused on. But looking forward, industrial automation is a space where we are starting to understand big capabilities and solutions to the right. On the left, autonomous cars, I'm fascinated. There's a long way to go, but the autonomous car today can look at the car in front. But what needs to happen is to be able to really connect to 5G capabilities and apply AI to plan the entire route. And that's in play as well. And these are like fascinating changes that we all are living through. And interestingly, the shift has been accelerated. But the way how I summarize my experience, any application that we would actually touch, feel, see, would be powered by AI. But it's also equally important that aspects like AI bias should be taken into account when designing these applications. Now, to summarize how the application shift has happening, when you take a closer look at any machine learning application, I'm sure we all know there is an aspect of model training, which is very compute intensive, and there is aspect of inferencing. And in today's world, very easily, we deploy both training and inferencing on the cloud and have this ML AI experience directly from the cloud. But if there's one shift that we are actually starting to see, the demand of near real-time inferencing, and now we are talking about inferencing in milliseconds, we are talking about inferencing in milliseconds at massive scale. You're talking hundreds and thousands of inferencing happen that needs to happen within a very short duration. In order to accommodate this, we are starting to see a paradigm shape and that is moving the inference capability very intelligently and seamlessly from the cloud to the closest location where the need is. So some of the application, if the inferencing is of the order of 10 to 25 millisecond, it's just an estimate, then ideal, you deploy these inferencing onto the CDN edge. VVMG, we have CDN edge in 160 location. We are already in the process of enabling these CDN edge with intelligence through a platform called Leo, which I would cite in a few minutes. And most importantly, there are a lot of applications which really need inferencing near real-time at massive scale and most importantly, highly reliable. In order to accommodate the factor of high reliability and also the aspect of millisecond inferencing, we have to start moving inferencing to your box is what I call. Now, an important paradigm shift when we go back and start to understand evolution of internet in the very, very beginning, it used to take fairly long for pages to download when we accessed yahoo.com from Sydney, but magically capabilities like CDN was enabled to cache content geographically in different locations. And this technology happened behind the scenes where a sudden change in human experience happened in terms of using the internet. Everybody started to have consistent experience of internet and CDN is magic. So today, when we start to take a closer look at how we want to deploy applications, enabling the CDN edge to be able to deploy ML applications is very, very critical. And there's a transformation or change that's actually happening in this area as well. Now, what are the applications that are really being discussed right now and why really we would need inferencing to happen so near real time and what exactly is a big problem? There is another very important paradigm shift that we all I'm sure started to notice. Up till until now, a lot of ML applications were actually primarily driven by signals from sensors. They're very two-dimensional, they're records. And there are billions of records. In fact, the platforms that our team really operate build applications, we ingest 100 billion records every day. But it's very easy even to operationalize platforms which can ingest and process 100 billion records because you have that luxury to be deployed on the cloud. And most importantly, the inferencing aspect is on a two-dimensional record. And the shift is the video content from where we have to pick up intelligence, apply machine learning to surface insights and solve the problem. That's another huge paradigm shift. And it's no exaggeration when I take a closer look at a lot of applications that come our way when we are starting to work on, majority of the applications are camera-driven in space of factory automation. And what we are seeing right now is an example of factory automation where you have video cameras which is observing the assembly line. And these feeds would be fed to platforms like Leo where you'd have applications which can understand the video signals, inference and alert if there are issues alongside other sensory signals like temperature, current and other things. So factory automation is a space or area where we are continuing to invest a lot in building applications. And I call it a two-U box. We have to deploy a two-U box. We need a platform like Leo. We need applications staying closer to the edge that way we have that reliability both in terms of high volume inferencing and also ensure that it is seamless and it's actually working in a factory environment. And 5G private definitely is going to play a big role to connect all these different sensors, cameras and so on and route signals and video streams to a platform, a centralized platform which can ingest and apply artificial intelligence and start to surface insights to improve efficiencies to avoid error near real time without any material loss. And this is an area we Verizon are starting to heavily invest. I'm sure many of you know Verizon already has a company called Skyward which was acquired a few years ago. They are into helping fly drones. Now, knowing Verizon has tens of thousands of cell towers having technologies like drone and computer vision so on, it's very timely that we talk to build applications instead of people climbing on the cell tower to understand issues with the towers and connections and so on. So, fly drones to understand the issues around those cell towers. One, it addresses a lot of safety issues. Two, it addresses a lot of, sorry, there's a lot of cost efficiencies attributed as well. And most importantly, with computer vision, you really see a lot of insights where you can take corrective actions near real time and you're continuing to invest. And this is kind of a very vertical application. Today, you solve it for cell towers. You can retrain it to monitor oil pipelines, buildings and bridges and then so on. I personally am very, very fascinated about the mission that we embarked on. We are very, very early on though. There's a lot of learning here, but I'm sure in months to come, we'll be able to operationalize products like what we are discussing right now. And it really requires edge capability. The video streams coming near real time, inferencing on the edge and then being able to provide surface insights to the person who's really conducting the survey of the cell tower or an antenna. Now, how can we solve all these things efficiently is the term that I would actually like to use. When we take a closer look at the next generation application, pretty much every application would have an aspect of machine learning attached to it. But the very interesting difference between the application that are powered by machine learning and traditional applications is the machine learning applications are not static. I can't say the release is complete. This is an awesome application. You guys go ahead and then use it. We really have to start to monitor the model and have a process in place to really retrain the model to make it more meaningful, relevant and accurate on the ground. And that's a non-trivial problem. And that's where we need to have an ecosystem that supports the next generation, building and deployment of next generation application. ML-based applications can be transactional. I can't say I've deployed the application and I can't walk away. I need to provide tools and capabilities which can be used to ensure that these applications are meaningful over a period of time. And that's very important on one side. On the other hand, be able to distribute the workload, the training workloads on the cloud and the inferencing workloads on the edge. In simple terms, I call the pink boxes and the blue boxes were deployed on the cloud. Now, eloquently, we have to separate these pink boxes to the closest edge, which could be a CDN edge or a 2U box, which would empower you to build applications like a drone vertical inspection, applications like factory automation and then so on. So we are very heavily invested in operationalizing the capability of platform which helps empowers us to build edge application seamlessly. So what you're seeing is a very high level blueprint of the platform Leo where the pink boxes are taken care as part of the model inferencing and application deployment. And this application deployment has to be end to end. We should be able to run UI. It has to be secured.  We all talk about distributed infrastructure. Now we are talking about a distributed application where the same drone inspection, the same factory automation has to be deployed in multiple locations and in many cases, it has to be integrated on the cloud to make it work very, very seamlessly. And it's a fascinating time where the demand for infrastructure is changing. The security posture is changing. We just can't say we have an awesome cloud infrastructure in multiple locations. It's micro clouds and these micro clouds have to be connected to the parent cloud primarily because your application loads are distributed on the edge and on the cloud with seamless interconnect. And what you're seeing is a reflection of our view about a year and a half ago and today what you're seeing is real. So Leo is a glue between various technology infrastructures, platforms and integration between data sensors and so on which will enable and empower to very different applications like drone inspection, factory automation, digital twin that has been operationalized for Verizon's own good within Verizon. And I'm sure we all have our own strategies but I'm very excited and encouraged to share the success that we're actually starting to see about understanding the needs of the edge platform and ironing out the capabilities that are actually needed on the edge. Now, in a nutshell, when you take a closer look at Leo, you can build an end-to-end application on Leo which can ingest data, which can apply inferencing at massive scale on the edge and be able to deploy any machine learning model and most importantly, this is container based. So what that translates to is it can be deployed on any edge platform but as I was mentioning, it's very important to have a seamless interconnect to the cloud because it's just only portion of your application and a lot of the training needs to happen on the cloud and there could be compliance policies where you have to purchase the data on the cloud and this data has to be shipped onto the cloud for various reasons and most importantly, a fascinating approach of building models. This is called distributed model training which can be consolidated on the cloud, can be approached through platforms like Leo. Now, at a very high level, for us, when you take a closer look at one of the capabilities that we would need on the edge, data management is super important, be able to ingest data, all forms of, and kinds of data, high throughput and so on and it should empower us to build end-to-end applications with UI, very secure and so on and most importantly, the security posture has changed because you have a 2U box sitting somewhere, physical security becomes important, application security becomes important too. These things have to be factored in, this which is beyond Leo, but we need to have a strategy to address all aspects of security and Leo does address application security, we would have to depend on edge enablement capabilities like OpenShift as well in this case to ensure that it is seamless, we can control or manage the container seamlessly on the edge and also provide a very secure environment to deploy edge applications and most importantly, have a strategy in place where you have components where you can deploy models, seamlessly manage it, monitor it and most importantly, perform nearly all time analytics too and everything that I have said is part of Leo, it's operationalized and we have been very, very successfully been using within Verizon and interestingly, though it's very, very early, Leo has become the not-star edge architecture for Verizon Media Group as we speak. Now to conclude, we are starting to see a new influx of application, I call this as next generation application and these applications, each one of them would be powered by AI, there's no doubt. They're poised to enhance human experience and efficiencies and health and safety and so on but the paradigm shift from the infrastructure perspective is we have to understand and identify the components that have to be moved closer and closer to the edge. It could be a CDN edge or a QU box. Now, I think with that, the way how I would like to summarize a lot of the stories and experiences that I have explained, it's going to be very, very interesting as we move forward. Primarily, as you start to take a closer look at building ML and AI-based applications, it's complex. We have to find ways to simplify this through a platform strategy. We need to have strategy and partnerships in place where we have control on the edge and technologies like OpenShift definitely will put us in a very, very good situation to have a very controlled and manageable environment taking into account. It's very, very distributed too. And most importantly, how are we going to build, test, deploy, keep the environment very agile that way it's adaptive, adaptive too. So taking all of these things into account, very, very early on, we have our own experiences. Very happy to learn your experiences to connecting offline.  I'm really excited and happy to be part of it. And also I feel very blessed to be part of an ecosystem like this. While we bring in what we know primarily from experience perspective in terms of solving problems on the edge, building ML and AI applications for Verizon, Verizon Media and other enterprise customers that we are starting to work with. We're here to learn as part of the ecosystem and become more and more efficient as we continue to build our next generation applications which are Envision would change a human experience which would improve efficiencies. And also most importantly, I am excited about the security posture, improving security posture and also health and safety too. So with that, I sincerely thank you all very much for this opportunity and look forward to sync up with you offline as part of consortiums and then we can take it from there. Most importantly, stay safe. I'm sure you're all going to have fantastic and terrific 2021. Thank you.


Hello, this is Pyonghak, and I'm going to talk about the tight PR security of DoubleBlock Hashtags on Macs. This is joint work with Seongguang and my advisor, Ju Young. Let's start with the introduction. Message authentication code, Mac, is a symmetric key algorithm that protects the integrity of the message. If Alice wants to send a message to Bob, and also wants to make sure that the message hasn't been modified, Alice and Bob first share the secret key key by a secure key exchange protocol. Before sending the message, Alice computes the tag T by applying the Mac on the shared key key and the message M. Then she sends the message and tag pair to Bob. To ensure the integrity, Bob verifies the received tag by recomputing the tag value using his copy of the key. If there is an active attacker if, and he intercepted the message and modified it, then the new tag may not match the original tag. So, Bob can notice that the message was not sent by Alice and rejected the message. To capture this situation, a Mac should have unforgeability to be secure. If a Mac has unforgeability, it is infeasible to generate a new valid message and tag pair even after looking at sufficient number of valid samples. We also use another security notion called PRF security. To be PRF secure, it should be infeasible to distinguish from a random variable input length function. Since we can prove that a secure variable input length PRF has also unforgeability, PRF security is a stronger security notion than unforgeability. Therefore, if we want to prove the security of a Mac algorithm, it is enough to prove that the algorithm is actually a secure PRF. To precisely formulate the PRF security of a function, we are going to introduce the distinguishing game. In this game, the adversary is interacting either with the real world and the ideal world. The real world comprises the Mac function, while the ideal world comprises a random variable input length function named F. The adversary tries to distinguish two worlds by making QR codes with lengths and most L blocks. At the end of the game, the adversary should determine the interacting world from the transcript, which is the record of queries and answers. The distinguishing advantage of the adversary is defined as the probability of correctly determining the interacting world minus 1 over 2. The 1 over 2 is confirmed the probability of reading by simple random guessing. There are a lot of proposed Macs with security proof, but most of them only provide birthday bound security. However, in some cases, we need beyond birthday bound security. For example, in lightweight cryptography, we're likely to use blocks of a smaller block size such as 64-bit or 80-bit. However, when we use these small block size, birthday bound security becomes insufficient. In the table, you can see that if we use 64-bit block sizes, the number of allowed queries on ECBC is up to 22D25, while the number of allowed queries on PMAG is 22D18. These are too small to use in practice, so beyond birthday bound security is needed. Fortunately, there are some Macs provides VBB security. ZMac, ZMac Plus, HAT and HAK are the Macs based on 3-qual block ciphers or ideal ciphers. They all have MB security where the N denotes the block size, but this high security could be achieved by using small, strong primitives. However, for the block supper-based Macs, it seems hard to achieve VBB security since any UHF and PR style with MB to internal state provides only birthday bound security. To settle this problem, there was an idea to use double state size, and later this idea is abstracted to double block hashed in some paradigm. Some ECBC, 3KF9, PMAG Plus and LiteMG Plus are the Macs based on this idea, and their security has been proved up to 22D2N over 3 queries. Now, let us see the construction of double block hashed in some Macs briefly. Some ECBC, which is the sum of two independent instances of ECBC, is proposed by YASTA at CTRSA 2010. As we know, it is the first proven VBB secure Mac algorithm. In the next year, YASTA proposed another VBB secure Mac called PMAG Plus. PMAG Plus is based on PMAG algorithm, and it has merged on its performance since it is parallelizable and also RATON algorithm. Later, there were studies to make efficient VBB secure Macs. Zhang Edel proposed 3KF9, which is the combination of 3GPP Mac and ECBC. 3KF9 is the only RATON algorithm, which provides VBB security without using any of field operation. Finally, NITO proposed LiteMG Plus, which is variant of LiteMG. LiteMG Plus is not a RATON algorithm since it uses counter-embedding on message, but it achieves message length independent security. Recall that all of the VBBs are proven to have 2N over 3B security. On the other side, Robert Edel suggested generate attacks on all of these VBBs with 2, 2D, 3N over 4 queries. The core idea of the attack was to exploit the difference between XOR permutations, XOP, and the ideal 2N bit function. In the following system of vacation, let us assume that the hashed messages are collided if they have the same color. Then, all of the unknowns appear exactly twice and cancel out each other, so we can derive a new condition that some of the attack values should equal to 0. This property is a significant difference from the ideal function. So, generic attack could be done by making this specific form of hash collisions within 2 to 3N over 4 queries. Now, you can see that there exists a gap between the best known attacks and their provable security. Now, let us move on to the contribution of our study. In this study, we proved 3N over 4B security of all the VBBs on max, so close the gap between the generic attacks and provable security. Since we have unified security framework, one can identify the required properties of the underlying hash functions. You can see the simplified security bound in the table, and if we consider the maximum length of each message as a constant value, all the VBBs on max are secured up to 2 to 3N over 4 queries. Note that for Pmec Plus and 3K F9, new bound does not always dominate the old bound, especially for the long messages. Here is the graph representing upper bounds on distinguishing advantage for Pmec and Pmec Plus. The left one is the graph for the 64-bit block size, and the right one is that for the 128-bit block size. As you can see in the graph, our new bound omits the security of Pmec Plus for short messages. Let us introduce our brief overview of our security problem. And this is the main lemma of the hash question technique. If the probability to have a bad transcript is small, and the difference between the ideal world and the real world is negligible without having the bad transcripts, hash question lemma says that the distinguishing advantage is also negligible. I will not cover this precisely, but the important point is we should define a proper set of bad transcripts that upper bound two values, epsilon-bat and epsilon-ratio. Also, the probability of getting a transcript in the real world is the most challenging one in the proof. Let us start to see the proof steps. For the first step, we represent the transcript by a graph. As you can see in the figure, each query, uv and t, is mapped into the edge which connects the vertices x and y. The vertex x represents the p of u, and the vertex y represents the q of v. Also, let us have each label t to represent the x, y of x and y. Since each query makes an affine equation between two variables t, p of u and q of v, the transcript graph can be viewed as another representation of system of affine equations made by adversaries' queries. Note that since we target beyond birthday bound security, there exists hash collisions of messages, so the edges might be connected each other. The next step is to identify the bad graphs. Some of the transcript graphs might lead to a contraction itself. If the graph contains a cycle, then the system of equations can be inconsistent. Here, you can see that the system is inconsistent if t is not equal to t prime. If the graph contains a path of even length whose taxam is equal to 0, one will get the equality of two different unknowns, like the q of v and q of v prime in the system of equations. But this leads contradiction because through permutations, different inputs should be mapped into different outputs. This type of the bad graph condition is sometimes called degeneracy. Also, although a cycle with degeneracy is not lead to contradiction, but to be simple, we still identify this as a kind of bad case. One can also note that the generic attack on the double block hash tensor max used lengths of four cycles. The third step is to upper bound the probability of obtaining bad graphs. Instead of finding a probability to have cycles or degeneracy, we define following five bad events. Bad one is the event to have lengths to cycle, and bad two or bad three are the events to have lengths to degeneracy. Bad four is the event to have one direction of length for degeneracy. And finally, bad five is the event to have another direction of length for trail, not degeneracy. So, without bad five, there cannot exist a length for cycle, and also lengths five or longer trails. As a result, without the events bad one and bad five, there cannot exist cycles and without bad two to bad five, there cannot exist even lengths passed with zero text sum. So, after we find the probability to have these bad events, we can upper bound the value epsilon bad. The last remaining step is to upper bound the epsilon ratio. Here, we apply the pattern's mirror theory, which evaluates the number of solutions of a fine system, and this is identical to find the probability to get a transcript in the real world. However, we could not apply the plane mirror theory since the plane mirror theory can be applied only when the maximum component size is bounded. However, in double block hashed and sum, the expected maximum component size is too large so the refinement of the mirror theory is required. Our refined mirror theory allows arbitrary component size, but the ratio of the number of connected edges to the number of all edges should be bounded. This is the brief history of the applications of patterns mirror theory. After the first version of the mirror theory suggested at 2010s, many variants of the mirror theory has been proposed and also have been applied on various constructions. Here, we want to emphasize that this is the first refinement of mirror theory that allows a component of an arbitrary size and can be used to prove 3N over 4B security. Although this work is, there is a concord work done by Esrinja and Murudunandi. Finally, after applying h-question lemma, we can obtain the bound of adversaries' distinguishing advantage. Here are our two major results, and one is the security of double block hashed and sum max with two independent universal hash functions f and g. The security of polymac and the sum ucbc can be obtained from this bound. Also, when f and g is not independent, like pmac plus or 3kf9, dedicated analysis is required. The most challenging one was the security of pmac plus, and here you can see the simplified result where the epsilon is the sum of all of non-dominating terms. For conclusion, we proved the tight security bounds for double block hashed and sum max, including polymac, sum ucbc, 3kf9, pmac plus, and litemac plus. All of them are PR secure up to 2-3N over 4 queries. Also, all the security bounds are tight in terms of the threshold number of queries. And for the future works, it will be interesting to find the better security bounds considering the influence of message length l, especially for the pmac plus and 3kf9, or find the tight security of key reduced variance of double block hashed and sum max. Now this is the end of the presentation, and thank you for listening.


Hi, my name's Rob Wynn. I think the great opportunity about being able to do the activation at the Brooklyn Museum was that as a student, having gone to Pratt, the Brooklyn Museum was kind of my spiritual home. So being able to interact with the collection of the Americas was a really fantastic experience. And to kind of do research into the individual pieces that I chose to interact with was a really great gift for me as an artist and it was a great opportunity.


All right, your life. I have two directions, two tracks. One is mainly about hyperledger, fabric, consortium projects. On the other hand, I have some really public blockchain projects. They are mainly about development with solid IT. It's not just necessarily Ethereum, but actually everything that is similar to Ethereum for example, like polygons and so on. As I said, the topic for today is digital identity and blockchain. And then the agenda actually looks like this. I would like to start to describe a little bit, to summarize a little bit what are the problems with the existing identity solutions. Identity and authentication solutions are exactly the website authentication and also the such paper instructions, or I would say, ordinary paper instructions. Then I will go on and then I will introduce a little bit what is a WebDry authentication and then we will really show the professional authentication and identification solutions, like, for example, a verifiable credential in English, the DEID, the central identifier, a bit in the direction of zero-knowledge proof and selective information distribution. Today is a hyperledger meetup. Of course, I have a slide about hyperledger and then also a slide about hyperledger and hyperledger identity solutions. Then I also have a exciting slide about the European self-sovereign identity system. And then in the end I have, I planned in a demo, probably we will have time for that, but I would definitely show some slides for such a general, verifiable proof certificate and then in the end we would like to have a round of questions and answers. So my suggestion would be, I really prepared for a presentation, so that it is not 100% perfect. So then it can happen that I break down briefly and then we can have a 20-second break without planning. But generally my suggestion would be, if someone has a big question or a complicated question or maybe a point that should be discussed, then my suggestion would be to really discuss something in the end. I think my presentation will take about 30-40 minutes and then, as I said, we will have a bigger discussion at the end. So then we will start. And then I have two classic identity solutions for the first term. Once I show the Web2 authentication.  It looks like if you want to use some online services these days, then you actually have or you actually have to register with Benutzera, name, e-mail and even password. This is the so-called classic Web2 authentication and as I said, it is often used practically on any online service. Practically speaking, Benutzera, name and e-mail are the identity information and password is practically like a test that I really have these identities Benutzera, name and e-mail. I would say something like this works relatively well until you have only one or three so-called online services used. But then nowadays, when you want to use maybe even a few dozen or maybe even a few hundred online services, then it will be difficult. And the problem is what I can do, I can of course use a name, an e-mail and more or less use a password everywhere. That is the problem that, on the one hand, when an online service is accidentally hacked, then my password is practically immediately known and not only for one online service, but also for several other online services. That is of course a problem, so it is certainly not practical. On the other hand, there is a information correlation between the website or between online services. So, for example, if I search for something on Google, then maybe I will get an advertisement on Facebook and even on Twitter and so on and so on. That is what I call information correlation. On the other hand, it can also happen if, for example, an online service is hacked and I only use a username and an e-mail everywhere, then it can happen that my entire online activity practically lands somewhere on a public network, which is of course not too practical. Of course, it is not a best practice, to use a username and password everywhere. Certainly, technically, it would be practical for every online service to use a different username, a different e-mail and also to use a different password. However, it is simply not realistic. I mean, no one actually has hundreds or even dozens of different username and password. That means an online service or an authentication of an online service and somehow an identity of an online service is not necessarily simple and does not work perfectly. The other thing is a bit different. I would say these are the so-called paper certificates. For example, a diploma certificate for example and so on. I know they are not seen as paper nowadays. But I would say such certificates come from the paper world. That means there is a piece of paper that says something. There is a stamp on it and then confirms the thing and then it is practically for someone. And then sometimes I can digitize something like this but then digitizing uses this classical model and I simply mean the paper certificates. As I said, these are the personal certificates that appear. Diploma certificate. If I think for a company then it can be something like ISO certificate. What does it start to be in this fashion today? They are the climate and sustainability certificates and also unfortunately to say the COVID certificate. I would say that even if they sometimes exist digitally I would say. The original idea is still this paper proof model. These are the two identity and identification ways that exist at the moment and I would say they do not work perfectly in the digital world. Then we start to look at how such things can be improved. One direction is the so-called Webdry identification. Webdry identification works with decentralized applications and defy applications. So it is quite a smart moment. For example, if I want to do something with uniswap first I have to run my browser but this is uniswap at the moment. Uniswap is both a decentralized application and a defy application. What is important with uniswap for example I do not have a user name I do not have an email here I also do not have a password here but what I have here is a crypto currency wallet and in the crypto currency wallet I also do not have the public and private keys my other one is the public key and I would say my identity when I use such tools is my public key it is a pseudonym identity it is quite cryptic but in any case with such an identity I can practically use this decentralized application and I still have a private key when I somehow write a transaction with my private key and I actually write a cryptographic key then I check practically that this pseudonym identity really belongs to me that I really use this pseudonym identity to use the system and that is the so-called Web3 authentication as I said based on private and public keys public keys or the address is practically the identity I mean Ethereum is the public key the same as the address for example on Bitcoin it is different a little but then the main idea is the same the public key or the address which is derived from the public key is the identity and I also have a private key and I can create a digital signature with the private key which is practically an identity background so that I can use cryptography that I am who I am practically to formulate it is based on pseudonymization sometimes pseudonymization is not perfect and is criticized for so-called key-wise and e-mail processes what is important is but as I said it is only used with decentralized and DeFi applications that means it is a niche market at the moment let's see how we can develop a Web3 authentication model and then if we want to develop the Web3 authentication we can cover several scenarios then the model which is often used is the so-called customizable certificate or verifiable credential and with customizable certificate or verifiable credential what is important is I have a so-called certificate we can imagine the certificate is practically a piece of paper like for example a diploma it says my name which university has this diploma and then some more information for example that I have a 3-webcom and so on so that is a certificate and then the model is practically this certificate I have three actors so for the first three actors in this model I have the manufacturer I have the owner and I still have a user so the manufacturer is practically a university a university makes a diploma writes in that is the name of the university I have this diploma for someone who makes some more information that I for example have a good grade and that is the manufacturer then there is the owner the owner for example someone who just makes his diploma and gets his diploma in any case someone who has this certificate and then the third actor role is practically the examiner the examiner is someone who just wants to verify the certificate wants to check for example if it is a diploma then actually can practically be a examiner our future employer wants to see our diploma and verify our diploma is it a real diploma is it wrong for example is it not from the university am I really the owner of the diploma is it not wrong that for example originally it was somehow just based on the format and then it was somehow wrong and then the good format and so on and so on so that is the easiest model for an extra certificate and that would be something with a further role really the main thing is that this verification process of the examiner should run so well and so perfectly and it should actually run cryptographically how it is possible and so for the first we can enter a fourth role that is the so-called data registry registration that is a data storage where we for example can store such certificates I would say it is a global global central storage central or decentralized storage where we practically such certificates for example our diploma can simply store and that helps in the verification process so for example when the university destroys our diploma when the diploma itself is immediately entered in this central or decentralized data storage then with the verification process with the verification of our diploma then this must be read and can really compare this is a verification for the data storage for proof certificates of diplomas and so on and so on now my internet starts to be a bit problematic I do it slowly a bit but then I hope that it will continue to work well what is important is that the exhibition stores the certificates normally does not store the entire certificate but some I would say metadata of our certificate so that our diploma or our certificate can be verified better and then the proof is the data storage and that helps in the verification process so let's see how we can actually use the Web3 authentication with our verified certificate model or can use as I said we have the four roles here the exhibition owners and also a central data storage so first both the exhibition owner and also the proof has some identity information and this identity information is similar to Web3 authentication so that means when I'm an exhibition owner then I have my private and public key and public key represents my identity and if I have something with my private key then I have my private key and public key represents my identity and if I have something with my private key then practically I check that I really I check cryptography that I'm the identity to say and it also works similar to the exhibition owner so the exhibition owner also has a private key and a public key and identity is practically a private key and if the owner describes something with a private key then he confirms cryptography that he really is the identity so with that we have our model so in our Diplom as I said there are actually three groups of information once there is an identity of the university there is an identity of the owner and three times there is much more information that I, for example, was of the model or marketing got a good and so on so identity information we can actually cover with private and public key keys so that means instead of university or the name of the owner we can imagine that we actually only write the public keys so that means the public key of the university and the public key of the owner and we can also put a message so the university to check the university that the university really has the Diplom the university can actually put a letter a cryptographic letter with his private key and that's the Diplom and if there is a test if there is a verification then practically the test what the test can look at he actually gets a Diplom where practically there is no identity information I mean no classical identity information not necessarily a name or a university name but two public keys but then what the test can do to verify this Diplom he can practically see if the signature of the university is really compatible with the public key in the Diplom that's one thing second, he can ask for a additional signature from the Basizer and if the Basizer can really write cryptography that with his private key then the Basizer can practically confirm that he has the private key that means he really has the public key that's one thing and this verification process can be improved somehow with this central data savings this central data savings is of course the blockchain so that's a blockchain solution here of course we can't write the Diplom into the blockchain unfortunately it doesn't work first then second it's not really practically regarding the private sphere or the private sphere so that's not practically writing the Diplom into the blockchain but what we can do we can write some information so for example we can create a hash value of our Diplom of our certificate and we can write this hash value into the blockchain so that means the proof can with the help of this information with the hash value really verify that the Diplom that is shown is valid so that means it's the same thing which is shared by the university so there is no such thing that for example the city of Mathe I wrote the document wrong Mathe wrote it wrong the other thing which can still be done here regarding the blockchain we can we can't write private data into the blockchain because of GDP which is possible if it is such a company data for example we can write data or register data regarding the university so that means the university can make an entry into the blockchain that it is the university and then this public key belongs to this university something like that is possible and that has no problem with GDPR as far as I know so that means that the proof with the verification process can really determine whether the public key exists and then the public key really belongs to the university and that is the common idea for overvaluable certificate and I talked about Diplom but then that can of course be a lot of other certificates so this relatively compact process I wouldn't say it's easy it can also be with Führerschein certificate or simply if we want to use it on an online service and then the main idea is really regarding identity exhibition, register and proof we use a key pair private and public key and then public key are our identities to say blockchain is just a part of the whole system blockchain is for data storage I would guarantee the data consistency for example with hash values or with public key and that is the common idea here I mean of course the common idea is simply the things are always a bit more difficult and then I would show some things that are still more difficult to have other ideas we can't go very deep because it takes weeks regarding the mathematical things so the mathematical things are really complicated but what is even more important with this testable certificate is a cryptographic process that means it's a cryptographic protocol and with a test it's really a cryptographic guarantee that the certificate or that the certificate cryptographically correct cryptographically good so another term that is the so decentralized identifier so so far we have talked about that we practically use key pairs private and public key pairs it was an easy version normally we don't use the key pairs but based on the key pairs there is such a decentralized identifier that the key pairs still use metadata it's a bit similar to for example the X509 certificate from PKI the thing also has key pairs the data the idea works a bit different and actually has more metadata the other idea is the so called identity wallet so the question is of course how we can use such an identity system and then the main idea is that we have identity wallet identity wallet is something similar to for example a cryptographic wallet in a cryptographic wallet we actually only have public and private key pairs otherwise not in an identity wallet we don't only have the key pairs but first of all we have a lot of these ideas so these ideas are already key pairs with further metadata then we also have different certificates so we have various certificates and we can have more cryptographic materials and everything is saved in this identity wallet what is maybe important to note here so if I have such a wallet then it is configurable how I use it for example we can imagine that a DID is practically an identity and as a person as a person can actually have more than one identity so more than one DID it is configurable so we can imagine that for example I want to use a DID only for social media for Facebook and Twitter but I have a completely different DID for example for bank services and then I have a completely different DID if I use it with the government or if I want to use it with the government and as I said it is configurable so we can imagine that also for social media I can configure it that is a DID for Facebook a DID for Twitter a DID for a separate DID for Instagram and they are absolutely independent from each other they cannot be connected but if I want to configure it or if I want to use it then I can actually have a DID so I can say that if I want to do that then I can have a DID for every social media for my banking service exactly so as I said it is configurable the second thing can also be configured like a crypto management wallet so we can imagine that I have such an identity wallet on my phone I can have such an identity wallet on my laptop on my computer and I can even have such an identity wallet as a backup for example and which information or which certificates are actually saved that is configurable so I can say on my mobile phone I have a reliable certificate which is my driver's license but otherwise not on my laptop I have both my driver's license and my diploma and if I want to have then it can be synchronized then it is synchronized from the identity wallet from my laptop from my mobile phone and then I have my diploma on my mobile phone and then, for example, when it comes to my job interview and so on on the next slide I have an example for a DID Decentral Identification it is the public key here and then as I said there are a lot of meta-information here it is actually a JSON document and I hope at the moment there will be a problem but then I will continue so now continue that was my network problem so I hope that was the only problem that was only 10 seconds so I still have an idea maybe it was even a bit clear such a application has a relatively good privacy property so my diploma here is actually public on the blockchain the blockchain only has a blockchain in between I will show you my diploma I will show you but it seems so here it has practically only money so that means my certificate is not public my certificate is for the exhibition for the owner and also for the exam otherwise I will not be able to see that my network again had a problem but I hope I will continue so where I was that my diploma was only for the exhibition and it is good that the blockchain with the current and this thing can also be improved and with very new proof and selective information distribution we are already a bit of a typographic thing but for example I will show you I have my certificate and then I want to show it and then someone has to verify that I am already 18 years old 18 years old but I want to do that information is distributed so that means that the certificate only contains one information that I am already more than 18 years old sorry hopefully now it works further I had no luck at the moment with my work that means with very new proof and selective information distribution we can have more private sphere settings so that was so far and I hope my network works for the next 10 minutes we have a few platforms regarding blockchain identity solutions because we are in the middle of it I would like to summarize Hyperledger on a slide Hyperledger is a non-profit organization it is also a Linux foundation project controlled by European source projects and then it is actually an incubator as practically a regular project mainly for consortium blockchain projects there are already some exceptions such as Besu and as I said it is an incubator so that means several sometimes independent and contested projects are incubated if we go to this side then we can already see what is Hyperledger and they are the Hyperledger projects they are for example Hyperledger Fepdix selbst probably the most famous Hyperledger project is just a piece here and even Hyperledger has several identity solutions even four we have here Hyperledger Indi Hyperledger Indi is an identity blockchain so what we can do with Hyperledger we can register the identity information we can write the hash values we can write for example that a public key for example for a university and so on we also have Hyperledger Iris Hyperledger Iris is a solution to save and transfer and so on to save and so on to transfer and so on maybe a hint here such blockchain and identity solutions blockchain is just a part and then what can be really complicated the other part where we practically with one of the transfer distribution distribution so that they can communicate and so on and so on and so on Hyperledger Iris now we have here Hyperledger Urso Hyperledger Urso is a cryptographic library practically not only for identity solutions but also for further Hyperledger projects and then for the first word it is actually so much I know currently only used by Iris and Indi but in the future maybe somewhere else and then we have a new project Hyperledger Anon Creed it is also a framework for such available certificates we actually have quite a lot of such blockchain and identity things or frameworks for example just to notice so it is probably the biggest problem for me so much I know sometimes used by Hyperledger Indi or something like that and then maybe another slide what is exciting is a big topic there are also such initiatives on the European Union level that is the European self-sovereign identity system European self-sovereign infrastructure it is actually a very outstanding service first for public applications currently not for public applications but sometimes there are opportunities for companies and one of the flagship of this European blockchain service infrastructure is the European self-sovereign identity framework what is maybe even exciting is a new kind of regulation and then with this regulation it will also be possible to use such systems not only technically but also legally I have a demo which I will show if anyone actually has time, you can watch it it is an UPU you just don't need a technical I have a slide about practically to say what you can do here with a mobile phone with this side you have to download an UPU identity wallet and then you will get a lot of such services first you need a city ID city ID is like a personal ID you will get from Newport and then when you have this personal ID it is a transferable certificate on your mobile phone in the identity wallet then you can get a diploma for example when you get a diploma it looks like you want to have a personal ID as a transferable certificate and then you get a diploma as a transferable certificate then you can also get a year membership for a museum a transferable certificate as a personal ID as a city ID if you have that then you can ask such a year membership for a museum that will be a transferable certificate on your mobile phone and when you have a museum for example it can be checked if it really is valid, I mean cryptographically valid and then you get a year membership for a museum one example is still sick even more complicated and here you already need a city ID which is a transferable certificate from Newport and then you still need a worker certificate that is also a transferable certificate what you can have on your mobile phone and then when both can be checked then you get a transferable certificate and then the transferable certificate will also be a transferable certificate so this is a good demo and then I think I changed my presentation in the middle we had about 2 minutes because of my network connection but then I hope that the rest was good and understandable so then that was my presentation and then I would say if someone has such questions or discussion points then I would like to try to answer also in chat chat is right in front of me so I would say if anyone has a question was I on the one hand so good that everyone was understandable or was I so bad that no one understood anything that is also of course not too practical but then if no one has a question or no one has a discussion point then I would like to thank the participants and then next year I have another lecture in English that will be deep technical and about hypergeo-fabric but otherwise would be a proposal then maybe we will try again next year to have something in German maybe maybe I will show that it would be nice to bring a bit back to life maybe even I will get something next year that is somewhere I mean probably like Munich or Vienna then it will probably be exciting but then I have to say for this year was a German presentation and then we will continue next year and if anyone has any interest about hypergeo-fabric a pretty technical presentation then thank you very much for the participation and I wish for everyone a nice, nice event


I start my day, every day, at 4 o'clock in the morning. I have to come here at the station to do the side-on program. And it is the Johnny Pusong program. The idea is we have to make the people happy and alive in the early morning. Typhoon Yolanda changed my work. I got jobless. But I move on. I was changed from the traditional media and became now a humanitarian broadcaster. On the eve of Typhoon Yolanda, I was the one on board at Rajudewa from 7 o'clock in the evening to 10.30 in the evening. After my program, I rushed to the house. I was afraid it was already flooded because of the very heavy rain. Luckily, we were able to run to the second floor because the whole ground floor was occupied by dark water. It almost killed us. We were lucky enough. We survived the typhoon. I said to myself, when I saw Tacloba, when I move around, I said, Tacloba, this is a new city. Yeah, it's a new city. No power, no communication. We stayed that way for several days. Very hard. It was really necessary to have emergency broadcast in Tacloban because there was no information at all. It was Pico John who looked for partners to provide us the equipment and Pico John, us as survivors in Tacloban, they engaged us for this work at Raja Banting. The name Pico John comes from Peace and Conflict Journalism Network. They are journalists for journalists. Because of the trainings that Pico John conducted on us, we were able to absorb the humanitarian way of broadcasting. We go to the communities. We get the voice of the people, the concerns of the people and bring their voices to the humanitarian agencies and the government agencies as well. Toway communication is very important. We set up our feedback mechanism. We have SMS lines. We have this call line. Anyone can just walk in and tell us their concern. Most of the issues that are coming from the communities are related to humanitarian response. Not being given relief goods, not being given construction materials, has no relocation site, not included in the bank house, no medicine, no money. We are the bridge. We call ourselves bridge. Once we get a concern from this community, we bring the problem to the concerned humanitarian organization or government agency for possible resolution of that concern. Our wish is to make Raja Banting a regular humanitarian registration. We hope to increase the power. So we can increase also our reach. But we cannot do that without partners. The partners of PICO zone are humanitarian organization. I can't say that the Taliban is recovering now. I can't say it's a very slow-paced one. Still, it's moving. We have not fully recovered, but maybe little by little we can do it. Thank you, thank you, thank you. Good night, everyone.