Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey.
Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey.
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DOI：
10.3390/s16071003
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发表时间：
2016-06-29
期刊：
影响因子：
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通讯作者：
Abdel-Rahman A
中科院分区：
文献类型：
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作者：
Abdalzaher MS;Seddik K;Elsabrouty M;Muta O;Furukawa H;Abdel-Rahman A
我们提出了一个研究使用博弈论保护无线传感器网络（WSNs）从自私的行为或恶意节点。由于无线传感器网络的可扩展性、低复杂性和传播性，恶意攻击可以有效地利用博弈论建模。在这项研究中，我们调查了不同的博弈论防御策略的无线传感器网络。我们提出了一个分类的博弈论方法的基础上的攻击的性质，无论是由外部攻击者或它是一个内部节点自私或恶意行为的结果。我们还提出了一个一般的信任模型，利用博弈论的决策。最后，我们确定了进化博弈的重要作用，无线传感器网络的安全性，以防止智能攻击，然后，我们列出了几个前景应用博弈论，以提高数据的可信度和节点合作，在不同的无线传感器网络。
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.