Anomaly Detection and Repair on Mobile Sensor Networks Using Immunity-based System

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The aim of this study is more efficient anomaly detection and node repair on wireless sensor network using an immunity-based system. We have proposed an immunity-based statistical en-route filtering, where each node assigns credibility to its neighboring nodes, updates the credibility based onthe success or failure of filtering and communication, and then uses the updated credibility as the probability of the next communication. Simulation results and mathematical analysis showed that the proposed scheme could achieve earlier detection of false data than the original one.