Journal
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
Volume 49, Issue 2, Pages 455-468Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSMC.2017.2697450
Keywords
Cyber-physical systems (CPSs); denial-of-service (DoS) attacks; dimensionality reduction; fusion estimation; Kalman filtering; stability analysis
Funding
- Research Grants Council of the Hong Kong Special Administrative Region, China [CityU 11204514, CityU 11300415]
- CityU Strategic Research [7004672]
- National Natural Science Funds of China [61403345, 61573319, 61673351]
- Hong Kong Scholars Program [XJ2014013]
- China Post-Doctoral Science Foundation [2016M590547]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available