期刊
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
卷 14, 期 2, 页码 498-513出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2018.2854745
关键词
Smart grid; Kalman filter; quickest detection; cumulative sum (CUSUM); online estimation; state recovery; false data injection attack; jamming attack; hybrid attack; stealthy attack; Shewhart test; chi-squared test
资金
- U.S. National Science Foundation (NSF) [ECCS-1405327]
- U.S. Office of Naval Research [N000141410667]
- NSF [CNS-1737598]
- Southeastern Center for Electrical Engineering Education
For a safe and reliable operation of the smart grid, timely detection of cyber-attacks is of critical importance. Moreover, considering smarter and more capable attackers, robust detection mechanisms are needed against a diverse range of cyber-attacks. With these purposes, we propose a robust online detection algorithm for (possibly combined) false data injection and jamming attacks, that also provides online estimates of the unknown and time-varying attack parameters and recovered state estimates. Further, considering smarter attackers that are capable of designing stealthy attacks to prevent the detection or to increase the detection delay of the proposed algorithm, we propose additional countermeasures. Numerical studies illustrate the quick and reliable response of the proposed detection mechanisms against hybrid and stealthy cyber-attacks.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据