A Path to Holistic Privacy in Stream Processing Systems
Mikhail Fomichev
The massive streams of Internet of Things (IoT) data require a timely
analysis to retain data usefulness. Stream processing systems (SPSs) enable
this task, deriving knowledge from the IoT data in real-time. Such real-time
analytics benefits many applications but can also be used to violate user
privacy, as the IoT data collected from users or their vicinity is inherently
sensitive. In this paper, we present our systematic look into privacy issues
arising from the intersection of SPSs and IoT, identifying key research
challenges towards achieving holistic privacy protection in SPSs and proposing
the solutions.