Signaling Game Analysis and Simulation on Network Decoy Defense Strategies

Authors

Leyi Shi, College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, China;
Junnan Zhao, College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, China;
Li Qin, College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, China;
Wen Xiao, College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, China;
Liu Xin, College of Computer and Communication Engineering, China University of Petroleum, Qingdao 266580, China;

Abstract

Abstract: The network decoy confrontation is regarded as a kind of observable behavior of a multi-stage signaling game. Four types of gaming models for decoy confrontation process were constructed step by step using signaling game theory, i.e. the normal service, the mixed system of normal service and honeypot, the mixed system with two kinds of signaling, and the mixed system with two kinds of signaling and three actions. In these signaling game models, the server sent a normal signaling or honeypot signaling as the sender, while the attacker chose to access, give up or access in condition as the receiver. The effectiveness and the effectiveness conditions of the network decoy strategy were demonstrated through solving the Bayesian equilibrium strategies and analyzing the equilibrium conditions. Gambit as a game simulation tool was used to simulate the signaling game process of network decoy confrontation, and the existence of the Bayesian equilibrium, the correctness of the theoretical analysis were validated.

Recommended Citation

Shi, Leyi; Zhao, Junnan; Qin, Li; Xiao, Wen; and Xin, Liu (2020) "Signaling Game Analysis and Simulation on Network Decoy Defense Strategies," Journal of System Simulation: Vol. 28: Iss. 2, Article 13.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss2/13

First Page

348

Revised Date

2014-11-18

DOI Link

https://doi.org/

Last Page

353

CLC

TP393

Recommended Citation

Shi Leyi, Zhao Junnan, Li Qin, Wen Xiao, Liu Xin. Signaling Game Analysis and Simulation on Network Decoy Defense Strategies[J]. Journal of System Simulation, 2016, 28(2): 348-353.