A Novel Anomaly Detection Algorithm for WSN

Wireless sensor networks (WSNs) are gaining more and more interest in the research community due to their unique characteristics and have a lots of interesting applications. Besides energy consumption security of WSN is being a critical issue nowadays. This is because WSNs are easily effected by various types of attacks and node compromises so they require security mechanisms to defend against them. An intrusion detection system (IDS) is one such solution to the problem. There are many research works focused in the area of signature based anomaly based IDS. Based on these malicious activities there is a need of addressing a new or modified versions of IDS algorithm. The proposed algorithm, abbreviated as AD(anomaly detection) algorithm has dedicated procedures for secure cluster formation, periodic re-clustering, and efficient cluster member monitoring and then the detection of different attacks. The performance of AD algorithm in identifying and detecting intrusions using a rule-based anomaly detection scheme is studied via simulations.