Probability Control for Verification of an Event Report Using Fuzzy System

Abstract

Sensor networks include numerous sensor nodes that are vulnerable to physical attacks from the outside because they operate in open environments. The sensor nodes are compromised by an attacker. The compromised nodes generate false reports and inject the reports into sensor networks. The false report injection attacks deplete energy of the sensor nodes. Ye et al. proposed Statistical En-Route Filtering (SEF) to defend sensor nodes against the false report injection attacks. In SEF, sensor nodes verify the event reports based on a fixed probability. Thus, the verification energy of a node is the same whether the report is false or valid. But when there are few false reports, energy for verifying legitimate reports may be wasted. In this paper, we propose a method in which each node controls a probability of attempts at verification of an event report to reduce the wasted energy. The probability is determined through consideration of the number of neighboring nodes, the number of hops from the node to the sink node, and the rate of false reports among the 10 most recent event reports forwarded to a node. We simulated our proposed method to prove its energy efficiency. After the simulation, we confirmed that the proposed method is more efficient than SEF for saving sensor node’s energy.