FBMT: Fuzzy Based Merkle Technique for
Detecting and Mitigating Malicious Nodes
in Sensor Networks
Ranjeeth Kumar Sundararajan1 and Umamakeswari Arumugam2
1Department of Computer Science and Engineering, Srinivasa Ramanujan
Centre, SASTRA Deemed University, India
2Department
of Computer Science and Engineering, School of Computing, SASTRA Deemed
University, India
Abstract: 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.
Keywords: Wireless Sensor Networks,
Intrusion Detection Systems, Fuzzy logic, Merkle tree.