An Optimal Decision-Making Method for Cyberspace Countermeasure Based on Game Theory

DOI

10.2991/ameii-16.2016.170How to use a DOI?

Keywords

Decision-Making, Game Theory, State Tree, Computer Network, Course of Actions

Abstract

The traditional Decision-Making methods leverage the awareness from one side of operators and evaluate the state of environment and devices statically. However, as the correlations of cyberspace's actions become more and more complex and the cyberspace confrontation is always changing, it cannot meet practical requirements. To solve these problems, a tree-based search algorithm is put forward in the paper, which exploits the correlations between actions and scores all plausible courses of actions dynamically, and gives optimal tactics advice for both the defenders and attackers. Additionally, it can reduce the cost of resources for operators to decide their actions. Experimental results show the feasibility and effectiveness of our proposed Decision-Making method.

Copyright

© 2016, 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  - Tian Chen
AU  - Ming Xian
AU  - Jun Gu
AU  - Huimei Wang
AU  - RuiXiang Du
PY  - 2016/04
DA  - 2016/04
TI  - An Optimal Decision-Making Method for Cyberspace Countermeasure Based on Game Theory
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 878
EP  - 883
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.170
DO  - 10.2991/ameii-16.2016.170
ID  - Chen2016/04
ER  -