服务拒绝攻击
计算机科学
估计员
降维
卡尔曼滤波器
维数之咒
最优化问题
还原(数学)
信息物理系统
理论(学习稳定性)
数学优化
人工智能
算法
数学
机器学习
互联网
几何学
操作系统
统计
万维网
作者
Bo Chen,Daniel W. C. Ho,Wen‐An Zhang,Li Yu
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2019-02-01
卷期号:49 (2): 455-468
被引量:131
标识
DOI:10.1109/tsmc.2017.2697450
摘要
This paper studies the distributed dimensionality reduction fusion estimation problem for a class of cyber-physical systems (CPSs) under denial-of-service (DoS) attacks. The problem is modeled under the resource constraints (i.e., bandwidth or energy) for the defender and attacker. Based on a new attack and compensation model, a recursive distributed Kalman fusion estimator (DKFE) is designed for the addressed CPSs. Though the optimization objects of the defender and attacker are opposite, the corresponding optimization problems are established based on different available information. In this case, an explicit form of suboptimal dimensionality reduction is given against DoS attacks, while an effective attack strategy is proposed for the attacker. A stability condition is derived such that the mean square error of the designed DKFE is bounded. Two illustrative examples are given to show the effectiveness of the proposed methods.
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