Sep 8, 2016 · Recent studies on sequential attack schemes revealed new smart grid vulnerability that can be exploited by attacks on the network topology.

Abstract— Recent studies on sequential attack schemes revealed new smart grid vulnerability that can be exploited by attacks on the network topology.

To analyze the transmission grid vulnerability under sequential topology attacks, this paper proposes a Qlearning based approach to identify critical attack ...

A Q-learning-based approach to identify critical attack sequences with consideration of physical system behaviors is proposed to identify new smart grid ...

Nov 24, 2022 · In this paper, we propose a deep reinforcement learning based vulnerability analysis scheme for smart grids that enables the control center to ...

Mar 28, 2023 · Tang, “Q-learning-based vulnerability analysis of smart grid against sequential topology attacks,” IEEE Transactions on Information ...

Yan J., He H., Zhong X., Tang Y. Q-learning-based vulnerability analysis of smart grid against sequential topology attacks. IEEE Trans Inf Forensics Secur ...

studied a hybrid cyber-physical topological attack in power grids, and proposed DRL-based method for detecting attacks with minimum cost (Luo and Xiao, 2021) .

2016. [11] [GLOBECOM] Jun Yan, Yufei Tang, Yihai Zhu, Haibo He, and Yan L. Sun, "Smart Grid Vulnerability under Cascade-Based Sequential Line-Switching Attacks ...

Nov 28, 2022 · J. Yan, H. He, X. Zhong, and Y. Tang, Q-Learning-based vulnerability analysis of smart grid against sequential topology attacks, IEEE Trans.