Yang Yukun, Xiong Pengwen, Wang Qing, Zhang Qiang
School of Information Engineering, Nanchang University, Xuefu Road No.999, Honggutan New District, Nanchang 330031, China.
Sensors (Basel). 2019 Aug 5;19(15):3436. doi: 10.3390/s19153436.
Herein, the problem of target tracking in wireless sensor networks (WSNs) is investigated in the presence of Byzantine attacks. More specifically, we analyze the impact of Byzantine attacks on the performance of a tracking system. First, under the condition of jointly estimating the target state and the attack parameters, the posterior Cramer-Rao lower bound (PCRLB) is calculated. Then, from the perspective of attackers, we define the optimal Byzantine attack and theoretically find a way to achieve such an attack with minimal cost. When the attacked nodes are correctly identified by the fusion center (FC), we further define the suboptimal Byzantine attack and also find a way to realize such an attack. Finally, in order to alleviate the negative impact of attackers on the system performance, a modified sampling importance resampling (SIR) filter is proposed. Simulation results show that the tracking results of the modified SIR filter can be close to the true trajectory of the moving target. In addition, when the quantization level increases, both the security performance and the estimation performance of the tracking system are improved.
本文研究了存在拜占庭攻击情况下无线传感器网络（WSN）中的目标跟踪问题。更具体地说，我们分析了拜占庭攻击对跟踪系统性能的影响。首先，在联合估计目标状态和攻击参数的条件下，计算后验克拉美 - 罗下界（PCRLB）。然后，从攻击者的角度出发，我们定义了最优拜占庭攻击，并从理论上找到了一种以最小成本实现这种攻击的方法。当融合中心（FC）正确识别出被攻击节点时，我们进一步定义了次优拜占庭攻击，并也找到了实现这种攻击的方法。最后，为了减轻攻击者对系统性能的负面影响，提出了一种改进的采样重要性重采样（SIR）滤波器。仿真结果表明，改进后的SIR滤波器的跟踪结果可以接近移动目标的真实轨迹。此外，当量化级别增加时，跟踪系统的安全性能和估计性能都得到了提高。
