The Self-learning Network Defense Based on Game Theory

DOI

10.2991/aetr-17.2018.75How to use a DOI?

Keywords

Active defense; Mixed strategies equilibrium; Network security; Game theory

Abstract

At present, the active defense strategy based on game theory is based on the complete information game model. For such model cannot cope with attackers and defenders do not know each other's behavior problems, based on the cooperation, and incomplete information game theory is proposed to improve the existing strategy gains quantitative method, calculation and comprehensive analysis of the bayesian equilibrium.

Copyright

© 2018, 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  - Wei Wang
AU  - Wenhong Zhao
PY  - 2018/03
DA  - 2018/03
TI  - The Self-learning Network Defense Based on Game Theory
BT  - Proceedings of the 2017 International Conference Advanced Engineering and Technology Research (AETR 2017)
PB  - Atlantis Press
SP  - 393
EP  - 398
SN  - 2352-5401
UR  - https://doi.org/10.2991/aetr-17.2018.75
DO  - 10.2991/aetr-17.2018.75
ID  - Wang2018/03
ER  -