论文标题
在拜占庭的存在下，声誉和基于审计位的分布式检测
Reputation and Audit Bit Based Distributed Detection in the Presence of Byzantine
论文作者
论文摘要
在本文中，提议两种基于声誉的算法，称为声誉和基于审计的聚类（RAC）算法（RAC）算法和基于审计的聚类，并提议使用辅助锚节点（RACA）算法来抵抗在融合中心（FC）中没有攻击性攻击策略的分布式检测网络中的拜占庭式攻击。通过更新基于群集网络中传感器的信誉索引，系统可以准确识别拜占庭节点。模拟结果表明，与其他算法相比，两种提出的算法都具有出色的检测性能。即使拜占庭节点的数量超过网络中传感器总数的一半，提出的RACA算法也可以很好地工作。此外，我们提出的算法的鲁棒性是在动态变化的情况下评估的，其中攻击参数会随着时间而变化。我们表明，我们的算法仍然可以达到出色的检测性能。
In this paper, two reputation based algorithms called Reputation and audit based clustering (RAC) algorithm and Reputation and audit based clustering with auxiliary anchor node (RACA) algorithm are proposed to defend against Byzantine attacks in distributed detection networks when the fusion center (FC) has no prior knowledge of the attacking strategy of Byzantine nodes. By updating the reputation index of the sensors in cluster-based networks, the system can accurately identify Byzantine nodes. The simulation results show that both proposed algorithms have superior detection performance compared with other algorithms. The proposed RACA algorithm works well even when the number of Byzantine nodes exceeds half of the total number of sensors in the network. Furthermore, the robustness of our proposed algorithms is evaluated in a dynamically changing scenario, where the attacking parameters change over time. We show that our algorithms can still achieve superior detection performance.
