Webinar on “IoT and Machine Learning”

Department of Information Technology had organised webinar on IoT and Machine Learning.

Experts shared their insights, real life scenarios, practical use cases and their solutions on Internet of Things and Machine Learning. First session started with keynote lecture on IoT and future it provided the insights of IoT applications for smart home, smart cities, smart light etc.

The Internet of things (IoT), which integrates a variety of devices into networks to provide advanced and intelligent services, has to protect user privacy and address attacks such as spoofing attacks, denial of service (DoS) attacks, jamming, and eavesdropping. We investigate the attack model for IoT systems and review the IoT security solutions based on machine-learning (ML) techniques including supervised learning, unsupervised learning, and reinforcement learning (RL). ML-based IoT authentication, access control, secure offloading, and malware detection schemes to protect data privacy are the focus of this article. We also discuss the challenges that need to be addressed to implement these ML-based security schemes in practical IoT systems.

The session ended with a vote of thanks by Dr. J. E. Nalavade, Head of Information Technology Department.