An Adaptive Malicious Punishment over Secure Distributed Estimation under Attacks
Yi Xin Hua, Limei Hu, Feng Chen · 2018
In this paper, we propose an adaptive malicious punishment DLMS algorithm to mitigate the adversarial attack. Two types of attacks are proposed in the WSNs. The adaptive threshold is designed to detect attacks. Then corresponding weight of malicious nodes can be reduced, due to the punishing factor. The simulations demonstrate that the proposed algorithm is robust to the adversarial attacks.