Abdalzaher Mohamed S, Seddik Karim, Elsabrouty Maha, Muta Osamu, Furukawa Hiroshi, Abdel-Rahman Adel
Electronics and Communications Engineering Department, Egypt-Japan University of Science and Technology (E-JUST), 21934 Alexandria, Egypt.
Center of Japan-Egypt Cooperation in Science and Technology, Kyushu University, Fukuoka 819-0395, Japan.
Sensors (Basel). 2016 Jun 29;16(7):1003. doi: 10.3390/s16071003.
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.
我们展示了一项利用博弈论保护无线传感器网络（WSN）免受自私行为或恶意节点影响的研究。由于无线传感器网络的可扩展性、低复杂性和分布式特性，恶意攻击可以有效地用博弈论进行建模。在本研究中，我们调查了针对无线传感器网络的不同博弈论防御策略。我们基于攻击的性质，即攻击是由外部攻击者造成的，还是内部节点自私或恶意行为的结果，给出了博弈论方法的分类。我们还提出了一种使用博弈论进行决策的通用信任模型。最后，我们确定了进化博弈在无线传感器网络抵御智能攻击安全方面的重要作用；然后，我们列出了博弈论在增强不同无线传感器网络中数据可信度和节点合作方面的几个潜在应用。
