Abstract:
In recent years, cybersecurity is emerging as one of the most critical problems to the normal operation of power systems. Meanwhile, insider threats are considered as a s...Show MoreMetadata
Abstract:
In recent years, cybersecurity is emerging as one of the most critical problems to the normal operation of power systems. Meanwhile, insider threats are considered as a strategic and serious challenge in the cybersecurity research and have attracted increasing attention. In this article, the detailed model of load redistribution (LR) attacks against the power systems considering the presence of insider threats is developed. The LR attack problem is formulated with a security resource allocation game model. Information leakage of the system operator's defense strategy by the insider to the external attacker is considered in the proposed game model. The optimal strategies of both the system operator and attacker in the presence of the insider are calculated to maximize their own payoffs. In so doing, the impacts of the insider in the LR attacks can be investigated with the proposed security resource allocation game model. Case studies based on the IEEE 39-bus and IEEE 118-bus test systems were conducted to validate the proposed model. The results of the case studies show that the information leakage by the insider will increase the payoff of the attacker in the LR attacks. The damage on the grid can be considerable even if the information leakage probability is small. The proposed defense strategy is able to reduce the expected operation cost of the system under the LR attacks with the information leakage due to the insider threats.
Published in: IEEE Transactions on Smart Grid ( Volume: 12, Issue: 2, March 2021)
Funding Agency:

Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee, Milwaukee, WI, USA
Zhaoxi Liu (Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2006 and 2008, respectively, and the Ph.D. degree in electrical engineering from the Technical University of Denmark, Kongens Lyngby, Denmark, in 2016.
He is currently a Research Associate with the Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee, Mi...Show More
Zhaoxi Liu (Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2006 and 2008, respectively, and the Ph.D. degree in electrical engineering from the Technical University of Denmark, Kongens Lyngby, Denmark, in 2016.
He is currently a Research Associate with the Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee, Mi...View more

Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee, Milwaukee, WI, USA
Lingfeng Wang (Senior Member, IEEE) received the B.E. degree in measurement and instrumentation from Zhejiang University, Hangzhou, China, in 1997, the M.S. degree in electrical and computer engineering from the National University of Singapore, Singapore, in 2002, and the Ph.D. degree from the Electrical and Computer Engineering Department, Texas A&M University, College Station, TX, USA, in 2008.
He is currently a Profess...Show More
Lingfeng Wang (Senior Member, IEEE) received the B.E. degree in measurement and instrumentation from Zhejiang University, Hangzhou, China, in 1997, the M.S. degree in electrical and computer engineering from the National University of Singapore, Singapore, in 2002, and the Ph.D. degree from the Electrical and Computer Engineering Department, Texas A&M University, College Station, TX, USA, in 2008.
He is currently a Profess...View more

Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee, Milwaukee, WI, USA
Zhaoxi Liu (Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2006 and 2008, respectively, and the Ph.D. degree in electrical engineering from the Technical University of Denmark, Kongens Lyngby, Denmark, in 2016.
He is currently a Research Associate with the Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee, Milwaukee, WI, USA. His research interests include power system operation, integration of distributed energy resources in power systems, power system security, and resiliency.
Zhaoxi Liu (Member, IEEE) received the B.S. and M.S. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2006 and 2008, respectively, and the Ph.D. degree in electrical engineering from the Technical University of Denmark, Kongens Lyngby, Denmark, in 2016.
He is currently a Research Associate with the Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee, Milwaukee, WI, USA. His research interests include power system operation, integration of distributed energy resources in power systems, power system security, and resiliency.View more

Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee, Milwaukee, WI, USA
Lingfeng Wang (Senior Member, IEEE) received the B.E. degree in measurement and instrumentation from Zhejiang University, Hangzhou, China, in 1997, the M.S. degree in electrical and computer engineering from the National University of Singapore, Singapore, in 2002, and the Ph.D. degree from the Electrical and Computer Engineering Department, Texas A&M University, College Station, TX, USA, in 2008.
He is currently a Professor with the Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee (UWM), Milwaukee, WI, USA. His major research interests include power system reliability, security, and resiliency. He is a recipient of the Outstanding Faculty Research Award of College of Engineering and Applied Science at UWM in 2018. He is an Editor of the IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, and IEEE Power Engineering Letters, and served on the Steering Committee of the IEEE Transactions on Cloud Computing.
Lingfeng Wang (Senior Member, IEEE) received the B.E. degree in measurement and instrumentation from Zhejiang University, Hangzhou, China, in 1997, the M.S. degree in electrical and computer engineering from the National University of Singapore, Singapore, in 2002, and the Ph.D. degree from the Electrical and Computer Engineering Department, Texas A&M University, College Station, TX, USA, in 2008.
He is currently a Professor with the Department of Electrical Engineering and Computer Science, University of Wisconsin–Milwaukee (UWM), Milwaukee, WI, USA. His major research interests include power system reliability, security, and resiliency. He is a recipient of the Outstanding Faculty Research Award of College of Engineering and Applied Science at UWM in 2018. He is an Editor of the IEEE Transactions on Smart Grid, IEEE Transactions on Power Systems, and IEEE Power Engineering Letters, and served on the Steering Committee of the IEEE Transactions on Cloud Computing.View more