z-logo
open-access-imgOpen Access
Exploring the Optimum Proactive Defense Strategy for the Power Systems from an Attack Perspective
Author(s) -
Jinxiong Zhao,
Xun Zhang,
Fuqiang Di,
Sensen Guo,
Xiaoyu Li,
Xiao Jing,
Panfei Huang,
Dejun Mu
Publication year - 2021
Publication title -
security and communication networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.446
H-Index - 43
eISSN - 1939-0114
pISSN - 1939-0122
DOI - 10.1155/2021/6699108
Subject(s) - computer science , computer security , subnet , adversarial system , perspective (graphical) , hacker , power (physics) , game theory , computer network , artificial intelligence , physics , quantum mechanics , economics , microeconomics
Proactive defense is one of the most promising approaches to enhance cyber-security in the power systems, while how to balance its costs and benefits has not been fully studied. ,is paper proposes a novel method to model cyber adversarial behaviors as attackers contending for the defenders’ benefit based on the game theory. We firstly calculate the final benefit of the hackers and defenders in different states on the basis of the constructed models and then predict the possible attack behavior and evaluate the best defense strategy for the power systems. Based on a real power system subnet, we analyze 27 attack models with our method, and the result shows that the optimal strategy of the attacker is to launch a small-scale attack. Correspondingly, the optimal strategy of the defender is to conduct partial-defense.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom