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Symmetry 2019, 11(2), 215; https://doi.org/10.3390/sym11020215

MAIAD: A Multistage Asymmetric Information Attack and Defense Model Based on Evolutionary Game Theory

1
Information Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, China
2
State Key Laboratory of Public Big Data, GuiZhou University, Guiyang 550025, China
*
Author to whom correspondence should be addressed.
Received: 30 November 2018 / Revised: 20 January 2019 / Accepted: 29 January 2019 / Published: 13 February 2019
(This article belongs to the Special Issue Symmetry in Computing Theory and Application)
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Abstract

With the rapid development and widespread applications of Internet of Things (IoT) systems, the corresponding security issues are getting more and more serious. This paper proposes a multistage asymmetric information attack and defense model (MAIAD) for IoT systems. Under the premise of asymmetric information, MAIAD extends the single-stage game model with dynamic and evolutionary game theory. By quantifying the benefits for both the attack and defense, MAIAD can determine the optimal defense strategy for IoT systems. Simulation results show that the model can select the optimal security defense strategy for various IoT systems. View Full-Text
Keywords: Internet of Things system; asymmetric information; evolutionary game; optimal strategy selection Internet of Things system; asymmetric information; evolutionary game; optimal strategy selection
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Yang, Y.; Che, B.; Zeng, Y.; Cheng, Y.; Li, C. MAIAD: A Multistage Asymmetric Information Attack and Defense Model Based on Evolutionary Game Theory. Symmetry 2019, 11, 215.

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