SECURITY FOR IoT SYSTEMS USING MACHINE LEARNING
Shrinath, N. Vineel Sagar, Sanath A Balthar, S G Radheshyam, B N Kiran · International journal of advance research and innovative ideas in education · 2018
IoT(Internet of things) represents the systems which are connected by number of devices, having sensors and actuators by wired or wireless network. More than 30 million of devices will be connected together by 2025, IoT is one of the technology, which is rapidly growing in the last decade. One of the weakest part in IoT is the “security”. IoT systems lacks the security for the data they collect, store & share over the network. Providing the security has become a major challenge. Securities such as preventing the unauthorized access of data, handling overloading of requests for access by authorized user. To approach these challenges for implementing secured IoT environment, we propose a centralized system for allowing only authorized user to access the IoT systems, using cryptography and analyse and maintain logs of the user activity with centralized system and IoT system environment using machine learning.