| Abstract: | Statistical en-route filtering (SEF) schemes can detect and eliminate false data injection attacks in wireless sensor networks.
However, SEF does not address the identification of the compromised nodes which are injecting false reports. Therefore, we
have proposed an immunity-based SEF to identify compromised nodes and achieve earlier detection of false reports. In the proposed
scheme, each node has a list of neighborhood nodes and assigns credibility to each neighboring node. Each node can update
the credibility of a neighboring node based on the success or failure of filtering and communication, and can then use the
updated credibility as the probability of the next communication. In this article, some simulation results show that the immunity-based
SEF outperforms the original SEF. |
