Reinforcement learning approach for robustness analysis of complex networks with incomplete information

M Tian, Z Dong, X Wang - Chaos, Solitons & Fractals, 2021 - Elsevier
Network robustness against sequential attacks is significant for complex networks. However,
it is generally assumed that complete information of complex networks is obtained and …

Risk-aware vulnerability analysis of electric grids from attacker's perspective

Y Zhu, J Yan, Y Sun, H He - 2013 IEEE PES Innovative Smart …, 2013 - ieeexplore.ieee.org
Electric grid is one of the largest interconnected networks on the earth, and is vital to the
operation of modern society. Within recent decades, the occurrence of several large scale …

A game-theoretic approach for power systems defense against dynamic cyber-attacks

S Hasan, A Dubey, G Karsai, X Koutsoukos - International Journal of …, 2020 - Elsevier
Technological advancements in today's electrical grids give rise to new vulnerabilities and
increase the potential attack surface for cyber-attacks that can severely affect the resilience …

Mid‐term vulnerability analysis of power systems under intentional attacks

S Sayyadipour, GR Yousefi… - IET Generation …, 2016 - Wiley Online Library
This study addresses the vulnerability analysis of power systems over a time horizon. The
authors introduce a model which could be used by system operators to assess where and …

Sequential node/link recovery strategy of power grids based on q-learning approach

Y Zhang, J Wu, Z Chen, Y Huang… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Cascading failure, which can be triggered by both physical and cyber attacks, is among the
most critical threats to the security and resilience of power grids. In current literature …

A mdp-based vulnerability analysis of power networks considering network topology and transmission capacity

C Caro-Ruiz, AS Al-Sumaiti, S Rivera… - IEEE …, 2019 - ieeexplore.ieee.org
This paper aims to study the vulnerability of the network to sequential cascading failures
attacks where the attack strategy integrates network theory and discounted reward with …

A reinforcement learning approach for sequential decision-making process of attacks in smart grid

Z Ni, S Paul, X Zhong, Q Wei - 2017 IEEE Symposium Series on …, 2017 - ieeexplore.ieee.org
An attacker can very possibly make significant damage for the power grid with a proper
sequence of timing and attacks. Existing approaches neglect the power system generation …

Cascading failure attacks in the power system: A stochastic game perspective

W Liao, S Salinas, M Li, P Li… - IEEE internet of things …, 2017 - ieeexplore.ieee.org
Electric power systems are critical infrastructure and are vulnerable to contingencies
including natural disasters, system errors, malicious attacks, etc. These contingencies can …

A tri-level optimal defense method against coordinated cyber-physical attacks considering full substation topology

C Qin, C Zhong, B Sun, X Jin, Y Zeng - Applied Energy, 2023 - Elsevier
In recent years, power systems have been facing an increasing risk of malicious attacks. As
modern power systems have a greater reliance on communication and automatic control …

[HTML][HTML] Study on Power Grid Partition and Attack Strategies Based on Complex Networks

Y Zou, H Li - Frontiers in Physics, 2022 - frontiersin.org
Based on the community discovery method in complex network theory, a power grid partition
method considering generator nodes and network weightings is proposed. Firstly, the …