Security Method for Internet of Things Using Machine Learning Against Cyber Attacks

Abstract

Abstract. Internet of things is a huge network of large number of devices with sensors. This group of devices is estimated to grow over 25 billion in 2020 as its growth since its evolution has been truly more than just rapid growth. With such a growth in network expansion and increase in number of connected devices, security always have been an issue to be improved and one of the weak areas in IoT environment. While applying security in IoT environment the main characteristics of IoT being heterogenetic and the number of IoT devices are the challenges that need to be dealt with some efficient and feasible approach. Therefore, to address this problem, we propose a method of securing IoT system using basic principles of machine learning. The system will analyze the data and detect the malicious packets received from the edge devices. The experimental study showed improved results with the dummy data sets in an IoT environment.