Cluster-Based Intrusion Detection Method for Internet of Things
Sarika Choudhary, Nishtha Kesswani · 2019
Internet of Things (IoT) is an advanced network which joins intelligent devices with the internet. Most of IoT devices are having sensors, and their work is to monitor the behavior near us. As all the "things" are connected, it also increases the susceptibility of the network. Security attacks may happen at any time in the network and may adversely affect the network. One such attack that we have tried to address in this paper is intrusion detection. We proposed an intrusion detection algorithm in our paper. We worked on the detection of selective forwarding and sinkhole attack in the 6LoWPAN environment using routing protocol RPL. It consists of a hybrid intrusion detection method for detecting two routing attacks. The experimental results of our algorithm showed that it achieved a true positive rate of 96.3% and false positive rate of 6.1% when routing attacks (sinkhole and selective-forwarding) were launched simultaneously.