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Secure Fusion Estimation for Bandwidth Constrained Cyber-Physical Systems Under Replay Attacks
IEEE Transactions on Cybernetics ( IF 11.8 ) Pub Date : 2018-06-01 , DOI: 10.1109/tcyb.2017.2716115
Bo Chen , Daniel W. C. Ho , Guoqiang Hu , Li Yu

State estimation plays an essential role in the monitoring and supervision of cyber-physical systems (CPSs), and its importance has made the security and estimation performance a major concern. In this case, multisensor information fusion estimation (MIFE) provides an attractive alternative to study secure estimation problems because MIFE can potentially improve estimation accuracy and enhance reliability and robustness against attacks. From the perspective of the defender, the secure distributed Kalman fusion estimation problem is investigated in this paper for a class of CPSs under replay attacks, where each local estimate obtained by the sink node is transmitted to a remote fusion center through bandwidth constrained communication channels. A new mathematical model with compensation strategy is proposed to characterize the replay attacks and bandwidth constrains, and then a recursive distributed Kalman fusion estimator (DKFE) is designed in the linear minimum variance sense. According to different communication frameworks, two classes of data compression and compensation algorithms are developed such that the DKFEs can achieve the desired performance. Several attack-dependent and bandwidth-dependent conditions are derived such that the DKFEs are secure under replay attacks. An illustrative example is given to demonstrate the effectiveness of the proposed methods.

中文翻译:

重播攻击下带宽受限的网络物理系统的安全融合估计

状态估计在网络物理系统(CPS)的监视和监视中起着至关重要的作用,其重要性已使安全性和估计性能成为主要问题。在这种情况下,多传感器信息融合估计(MIFE)为研究安全估计问题提供了一种有吸引力的替代方法,因为MIF​​E可以潜在地提高估计准确性并增强抵御攻击的可靠性和鲁棒性。从防御者的角度出发,针对重放攻击下的一类CPS,研究了安全分布式卡尔曼融合估计问题,其中,宿节点获得的每个本地估计通过带宽受限的通信通道传输到远程融合中心。提出了一种具有补偿策略的数学模型来表征重放攻击和带宽约束,然后设计了线性最小方差意义上的递归分布式卡尔曼融合估计器。根据不同的通信框架,开发了两类数据压缩和补偿算法,以便DKFE可以达到所需的性能。推导了几种与攻击有关且与带宽有关的情况,以便DKFE在重放攻击下是安全的。给出了一个说明性的例子来证明所提出方法的有效性。开发了两类数据压缩和补偿算法,以便DKFE可以达到所需的性能。推导了几种与攻击有关且与带宽有关的情况,以便DKFE在重放攻击下是安全的。给出了一个说明性的例子来证明所提出的方法的有效性。开发了两类数据压缩和补偿算法,以便DKFE可以达到所需的性能。推导了几种与攻击有关且与带宽有关的情况,以便DKFE在重放攻击下是安全的。给出了一个说明性的例子来证明所提出的方法的有效性。
更新日期:2018-06-01
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