FBMT: Fuzzy Based Merkle Technique for Detecting and Mitigating Malicious Nodes in Sensor Networks

Wireless sensor networks are prone to many vulnerabilities because of its unattended environment policy. Intrusion is one of the serious issue in wireless networks, since wireless networks are resource constrained and devising a security mechanism to counter intrusion is a challenging task. This paper focuses on building light-weight Intrusion Detection System to counter the routing attack, by identifying the malicious nodes at the earliest point. The proposed scheme namely Fuzzy Based Merkle Technique applies fuzzy logic to identify the malicious nodes and builds a light-weight Intrusion detection system and adapts Merkle tree approach for building the network. The proposed scheme is efficient in identifying the malicious nodes with minimum energy consumption and less communication overhead than the existing Merkle technique. Network Simulator 2 is used to simulate the Intrusion Detection System (IDS) and the results are verified.