Defense strategy selection based on signaling game

2015 ◽  
Author(s):  
Zhang Hengwei ◽  
Wang Jindong ◽  
Wang Na ◽  
Yu Dingkun ◽  
Han Jihong
Keyword(s):  
Signaling Game ◽  
Strategy Selection ◽  
Defense Strategy

scholarly journals Optimal Defense Strategy Selection for Spear-Phishing Attack Based on a Multistage Signaling Game

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 19907-19921 ◽  
Author(s):  
Xiayang Chen ◽  
Xingtong Liu ◽  
Lei Zhang ◽  
Chaojing Tang
Keyword(s):  
Signaling Game ◽  
Strategy Selection ◽  
Optimal Defense ◽  
Defense Strategy ◽  
Selection For

scholarly journals Active Defense Strategy Selection Method Based on Two-Way Signaling Game

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Xiaohu Liu ◽  
Hengwei Zhang ◽  
Yuchen Zhang ◽  
Lulu Shao ◽  
Jihong Han
Keyword(s):  
Signal Transmission ◽  
Signaling Game ◽  
Strategy Selection ◽  
Network Attack ◽  
Defense Strategies ◽  
Defense Strategy ◽  
Active Defense ◽  
Bayesian Equilibrium ◽  
Security Research ◽  
Attack And Defense

Most network security research studies based on signaling games assume that either the attacker or the defender is the sender of the signal and the other party is the receiver of the signal. The attack and defense process is commonly modeled and analyzed from the perspective of one-way signal transmission. Aiming at the reality of two-way signal transmission in network attack and defense confrontation, we propose a method of active defense strategy selection based on a two-way signaling game. In this paper, a two-way signaling game model is constructed to analyze the network attack and defense processes. Based on the solution of a perfect Bayesian equilibrium, a defense strategy selection algorithm is presented. The feasibility and effectiveness of the method are verified using examples from real-world applications. In addition, the mechanism of the deception signal is analyzed, and conclusions for guiding the selection of active defense strategies are provided.

scholarly journals Network Defense Strategy Selection with Reinforcement Learning and Pareto Optimization

2017 ◽  
Vol 7 (11) ◽  
pp. 1138 ◽  
Author(s):  
Yang Sun ◽  
Wei Xiong ◽  
Zhonghua Yao ◽  
Krishna Moniz ◽  
Ahmed Zahir
Keyword(s):  
Reinforcement Learning ◽  
Pareto Optimization ◽  
Strategy Selection ◽  
Defense Strategy ◽  
Network Defense

scholarly journals Markov Evolutionary Games for Network Defense Strategy Selection

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 19505-19516 ◽  
Author(s):  
Jianming Huang ◽  
Hengwei Zhang ◽  
Jindong Wang
Keyword(s):  
Evolutionary Games ◽  
Strategy Selection ◽  
Defense Strategy ◽  
Network Defense
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