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Bayesian Game Based Pseudo Honeypot Model in Social Networks

机译:社交网络中基于贝叶斯博弈的伪蜜罐模型

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In this paper, we study applying honeypots to protect social networks against DDoS attacks. Different from previous works that study honey-pots for DDoS attacks, we consider attackers are rational and know to optimize attacking strategies based on the defender's strategy. To deal with such strategic attackers, we propose a novel pseudo honeypot game model following the Bayesian game setting. In addition, we rigorously prove the existence of Bayesian Nash equilibriums (BNEs) and show how to find them in all different cases. Simulations show the BNEs achieved in the games not only reduce energy consumption but also improve efficiency of the defense.
机译:在本文中,我们研究了应用蜜罐来保护社交网络免受DDoS攻击。与以往研究DDoS攻击的蜜罐的工作不同,我们认为攻击者是理性的,并且知道根据防御者的策略优化攻击策略。为了应对此类战略攻击者,我们在贝叶斯游戏设置之后提出了一种新颖的伪蜜罐博弈模型。此外,我们严格证明了贝叶斯纳什均衡(BNE)的存在,并展示了如何在所有不同情况下找到它们。模拟表明,在游戏中获得的BNE不仅可以降低能耗,而且可以提高防御效率。

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