Secure Supervised Learning-Based Smart Home Authentication Framework
K. Swapna Sudha N. Jeyanthi Celestine Iwendi
The Smart home possesses the capability of facilitating home services to
their users with the systematic advance in The Internet of Things (IoT) and
information and communication technologies (ICT) in recent decades. The home
service offered by the smart devices helps the users in utilize maximized level
of comfort for the objective of improving life quality. As the user and smart
devices communicate through an insecure channel, the smart home environment is
prone to security and privacy problems. A secure authentication protocol needs
to be established between the smart devices and the user, such that a situation
for device authentication can be made feasible in smart home environments. Most
of the existing smart home authentication protocols were identified to fail in
facilitating a secure mutual authentication and increases the possibility of
lunching the attacks of session key disclosure, impersonation and stolen smart
device. In this paper, Secure Supervised Learning-based Smart Home
Authentication Framework (SSL-SHAF) is proposed as are liable mutual
authentication that can be contextually imposed for better security. The formal
analysis of the proposed SSL-SHAF confirmed better resistance against session
key disclosure, impersonation and stolen smart device attacks. The results of
SSL-SHAF confirmed minimized computational costs and security compared to the
baseline protocols considered for investigation.