Quantitative Assessment Of General Cyber-Attack And Optimal Strategy-Selection Modelling In CPPS

DOI

10.2991/jimec-17.2017.13How to use a DOI?

Keywords

Cyber-attack; Quantitative assessment; Strategy-selection; Cyber-Physical Power System; ADG;

Abstract

Recent years, an explosion of cyber-attack accidents once more sound the alarm on the significance of cyber-security issue. For the sake of establishing robust panoramic defense architecture in modern Cyber-Physical Power System (CPPS), an effective and quantitative vulnerability assessment of CPPS is in desperate demand. Consequently, based on the detailed induction and analysis of general framework of cyber-attack, a quantitative assessment method is proposed in the paper from the aspects of both attackers and defenders. In the first place, the probability of selecting access point from the attacker's view is quantized through the scoring of the three properties of information security, the penetration difficulty and the impact of vulnerability. Then, the impact assessment of defender and attacker strategies is discussed via the analysis of both positive and negative aspects. Afterwards, by means of the solving the linear programming issue, the optimal determination of strategy-selection is realized via Nash Equilibrium of Mixed Strategy(NEMS) algorithm. The reasonability of the proposed assessment framework together with future research work are demonstrated at the end of paper.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Li Baojie
AU  - Lu Yuxin
AU  - Zeng Xiaoming
AU  - Chen Yufei
AU  - Zeng Xiangfeng
AU  - He Weisheng
PY  - 2017/10
DA  - 2017/10
TI  - Quantitative Assessment Of General Cyber-Attack And Optimal Strategy-Selection Modelling In CPPS
BT  - Proceedings of the 2017 2nd Joint International Information Technology, Mechanical and Electronic Engineering Conference (JIMEC 2017)
PB  - Atlantis Press
SP  - 64
EP  - 68
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimec-17.2017.13
DO  - 10.2991/jimec-17.2017.13
ID  - Baojie2017/10
ER  -