Defense decision-making method based on incomplete information stochastic game

Most of the stochastic game models to select network defense strategies are composed of matrix game and Markov decision,which assumes that the defender has known the attacker's revenue.This assumption does not conform to the actual situation.The uncertainty of the attacker's income was con...

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Main Authors: Junnan YANG, Hongqi ZHANG, Chuanfu ZHANG
Format: Article
Language:English
Published: POSTS&TELECOM PRESS Co., LTD 2018-08-01
Series:网络与信息安全学报
Subjects:
Online Access:http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018065
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author Junnan YANG
Hongqi ZHANG
Chuanfu ZHANG
author_facet Junnan YANG
Hongqi ZHANG
Chuanfu ZHANG
author_sort Junnan YANG
collection DOAJ
description Most of the stochastic game models to select network defense strategies are composed of matrix game and Markov decision,which assumes that the defender has known the attacker's revenue.This assumption does not conform to the actual situation.The uncertainty of the attacker's income was converted into the indeterminacy of the attacker type,and an incomplete information stochastic game model,which was combined with the static Bias game and Markov decision,was constructed.The equilibrium solution method of the incomplete information stochastic game model was given,and the strategy selection of the defender was guided by the stable Bias Nash equilibrium.Finally,a practical example was given to demonstrate the feasibility and effectiveness of the model.
format Article
id doaj-art-a3f51508dfd143b9a5660034f9079031
institution Kabale University
issn 2096-109X
language English
publishDate 2018-08-01
publisher POSTS&TELECOM PRESS Co., LTD
record_format Article
series 网络与信息安全学报
spelling doaj-art-a3f51508dfd143b9a5660034f90790312025-01-15T03:12:56ZengPOSTS&TELECOM PRESS Co., LTD网络与信息安全学报2096-109X2018-08-014122059553973Defense decision-making method based on incomplete information stochastic gameJunnan YANGHongqi ZHANGChuanfu ZHANGMost of the stochastic game models to select network defense strategies are composed of matrix game and Markov decision,which assumes that the defender has known the attacker's revenue.This assumption does not conform to the actual situation.The uncertainty of the attacker's income was converted into the indeterminacy of the attacker type,and an incomplete information stochastic game model,which was combined with the static Bias game and Markov decision,was constructed.The equilibrium solution method of the incomplete information stochastic game model was given,and the strategy selection of the defender was guided by the stable Bias Nash equilibrium.Finally,a practical example was given to demonstrate the feasibility and effectiveness of the model.http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018065network attack-defensestochastic gameincomplete informationbayesian nash equilibriumdefense strategies
spellingShingle Junnan YANG
Hongqi ZHANG
Chuanfu ZHANG
Defense decision-making method based on incomplete information stochastic game
网络与信息安全学报
network attack-defense
stochastic game
incomplete information
bayesian nash equilibrium
defense strategies
title Defense decision-making method based on incomplete information stochastic game
title_full Defense decision-making method based on incomplete information stochastic game
title_fullStr Defense decision-making method based on incomplete information stochastic game
title_full_unstemmed Defense decision-making method based on incomplete information stochastic game
title_short Defense decision-making method based on incomplete information stochastic game
title_sort defense decision making method based on incomplete information stochastic game
topic network attack-defense
stochastic game
incomplete information
bayesian nash equilibrium
defense strategies
url http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2018065
work_keys_str_mv AT junnanyang defensedecisionmakingmethodbasedonincompleteinformationstochasticgame
AT hongqizhang defensedecisionmakingmethodbasedonincompleteinformationstochasticgame
AT chuanfuzhang defensedecisionmakingmethodbasedonincompleteinformationstochasticgame