Preventive-Corrective Cyber-Defense: Attack-Induced Region Minimization and Cybersecurity Margin Maximization
Jiazuo Hou, Fei Teng, Wenqian Yin, Yue Song, Yunhe Hou

TL;DR
This paper introduces a combined preventive-corrective cyber-defense strategy for power systems that minimizes attack regions and maximizes cybersecurity margins, enhancing protection against false data injection attacks.
Contribution
It proposes a novel two-stage strategy that first minimizes the attack-induced region and then maximizes the cybersecurity margin using resource allocation, with theoretical conditions for unattackable lines.
Findings
Effective reduction of attack regions demonstrated on IEEE 14 bus system.
Trade-off analysis between safety and cost in cybersecurity margin maximization.
Strategy proves to be cost-effective and improves system resilience.
Abstract
False data injection (FDI) cyber-attacks on power systems can be prevented by strategically selecting and protecting a sufficiently large measurement subset, which, however, requires adequate cyber-defense resources for measurement protection. With any given cyber-defense resource, this paper proposes a preventive-corrective cyber-defense strategy, which minimizes the FDI attack-induced region in a preventive manner, followed by maximizing the cybersecurity margin in a corrective manner. First, this paper proposes a preventive cyber-defense strategy that minimizes the volume of the FDI attack-induced region via preventive allocation of any given measurement protection resource. Particularly, a sufficient condition for constructing the FDI unattackable lines is proposed, indicating that the FDI cyber-attack could be locally rather than globally prevented. Then, given a non-empty FDI…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSmart Grid Security and Resilience · Power Systems Fault Detection · Power System Optimization and Stability
