Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey

We present a study of using game theory for protecting wireless sensor networks (WSNs) from selfish behavior or malicious nodes. Due to scalability, low complexity and disseminated nature of WSNs, malicious attacks can be modeled effectively using game theory. In this study, we survey the different...

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书目详细资料
Main Authors: Mohamed S. Abdalzaher, Karim Seddik, Maha Elsabrouty, Osamu Muta, Hiroshi Furukawa, Adel Abdel-Rahman
格式: 文件
语言:English
出版: MDPI AG 2016-06-01
丛编:Sensors
主题:
在线阅读:http://www.mdpi.com/1424-8220/16/7/1003
实物特征
总结:We present a study of using game theory for protecting wireless sensor networks (WSNs) from selfish behavior or malicious nodes. Due to scalability, low complexity and disseminated nature of WSNs, malicious attacks can be modeled effectively using game theory. In this study, we survey the different game-theoretic defense strategies for WSNs. We present a taxonomy of the game theory approaches based on the nature of the attack, whether it is caused by an external attacker or it is the result of an internal node acting selfishly or maliciously. We also present a general trust model using game theory for decision making. We, finally, identify the significant role of evolutionary games for WSNs security against intelligent attacks; then, we list several prospect applications of game theory to enhance the data trustworthiness and node cooperation in different WSNs.
ISSN:1424-8220