A Heuristic Approach for Intrusion Detection in IoT Environment

Abstract

The number of diverse interconnected Internet of Things (IoT) devices keeps increasing exponentially, introducing new security and privacy challenges. These devices tend to become more pervasive than mobile phones and already have access to very sensitive personal information such as usernames, passwords, etc., making them a target for cyber-attacks. Many smart devices are vulnerable to a variety of attacks and also, they can be considered to be the weakest link for breaking into a secure infrastructure. As a result, there is a need to develop an Intrusion Detection System (IDS) dedicated to monitoring IoT ecosystems, which will be able to adapt to this heterogeneous environment and detect malicious activity on the network.