Su Man Nam and Tae Ho Cho
Sungkyunkwan University, Korea

An adversary can easily compromise sensor nodes in wireless sensor networks, and generate multipleattacks through compromised nodes, such as false vote injection attacksand false report injection attacks.The false vote injection attack tries to drop legitimate reports in an intermediate node, and the false reportinjection attack tries to drain the energy consumption of each node. To prevent these attacks, aprobabilistic voting-based filtering scheme (PVFS) has been proposed to select verification nodes, and todetect fabricated votes in the reports as they occur simultaneously. In this paper, we propose a method thatimproves the energy efficiency of each node and thesecurity level of the false report injection attack, whilemaintaining the detection power of the false vote injection attack. Our proposed method effectively selectsverification node with considering the conditions of each node, based on a fuzzy rule-based system. Theverification node is decided through the energy remaining level, distance level, and number of detectedfalse votes in the fuzzy system. We evaluated the effectiveness of the proposed method, as compared toPVFS, when two attacks occur simultaneously in the sensor network. The experimental results show thatour method saves energy by up to 8%, by improving and maintaining thedefenceagainst these multipleattacks.

Wireless sensornetwork,Probabilistic voting-based filtering scheme,False report injection attacks,Falsevote injection attacks,Fuzzy system