An Immunity-Based Scheme for Statistical En-route Filtering in Wireless Sensor Networks

摘要

Statistical en-route filtering schemes do not deal with the identification of compromised nodes injecting bogus reports. In this paper, we propose an immunity-based scheme to identify compromised nodes combining with the statistical en-route filtering in wireless sensor networks. In the proposed scheme, each node has a list of neighborhood and assigns credibility to each neighbor node. Each node can not only update the credibility of neighbor node based on success or failure of filtering and communication but also use the updated credibility as the probability of next communication. Our scheme will be expected to inhibit neighbor nodes of compromised nodes from forwarding false reports.