IADF security: insider attack detection using fuzzy logic in wireless multimedia sensor networks

Abstract

Wireless multimedia sensor networks (WMSNs) consist of spatially distributed, autonomous sensor nodes that monitor physical or environmental conditions. WMSN networks, in general, are prone to insider attacks like node replication attacks, where a malicious node replicates itself as an insider node, which may lead to a situation where a non-authentic node becomes a rightful part of the network. Insider attacks are not detectable with classic cryptographical techniques. Many WMSN applications require a dedicated on-demand algorithm to detect the insider attacker in the system without any prior knowledge of the system. This paper proposes a new security scheme, called the insider attack detection using fuzzy logic (IADF). This security scheme uses the fuzzification of six parameters present in a wireless multimedia sensor node categorized as network and physical parameters. Physical parameters used are received signal strength, transceiver range and residual energy. Network parameters used include packet delivery ratio, forwarding delay and transmission rate. The fuzzy approach makes the IADF algorithm flexible and scalable. Simulation results show that the IADF algorithm can predict malicious nodes with a higher prediction rate and higher detection accuracy.