Fuzzy-Based Verification-Probability Determination Method for Dynamic Filtering in Sensor Networks

Sensor nodes may be easily compromised and seized by adversaries, because they are disseminated in hostile environments. Adversaries may try various security attacks on sensor networks using compromised nodes. False data injection attacks using nodes may cause false alarms, and severe energy waste. The dynamic en-route filtering scheme (DEF) can detect and drop false data during the forwarding process. In DEF, each forwarding node verifies data with a certain probability. In terms of energy conservation, this approach is efficient against false traffic, but not against legitimate traffic. In this paper, we propose a fuzzy-based verification-probability determination method for DEF. A forwarding node verifies data with some probability that is adaptively determined by a fuzzy rule-based system considering the network status. Simulation shows the proposed method can conserve energy, whilst providing sufficient detection power.