Adaptive Key Diffusion Restriction Method for Dynamic Filtering in Sensor Networks Based on Fuzzy Logic

Abstract: Wireless sensor networks are vulnerable to false data injection attacks, because they are disseminated in hostile environments. Adversaries can inject false report into the network using compromised nodes, with the goal of deceiving the base station and draining the energy resource of forwarding node. The dynamic en-route filtering scheme (DEF) can detect and drop false date for the forwarding process. In this scheme the select of threshold value that restricts the key diffusion is important since it represents a trade-off between detection power and overhead. A large threshold value increases probability that detect false reports, but it consumes too much energy in the key diffusion phase. In this paper, we proposed adaptive key diffusion restriction method with fuzzy-based framework for DEF. A fuzzy-based system controls the adaptive threshold value of DEF through practical factors. The proposed method can provide energy saving and sufficient resilience against false data injection attacks and show simulation.