Secure Fusion Filtering and Clustering for Distributed Wireless Sensor Networks

The secure distributed fusion filtering problem for the networked multi-sensor system with possible deception attack is concerned in this paper. A statistical test for the received measurements and a distance-based clustering for the local estimates are sequentially utilized to detect the cyber-attack. The estimates detected as normal ones are fused in the sense of minimum mean square error. The final simulation is provided to illustrate the feasibility and the effectiveness of the proposed method.

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