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A Differentially Private Game Theoretic Approach for Deceiving Cyber Adversaries
IEEE Transactions on Information Forensics and Security ( IF 6.8 ) Pub Date : 2020-08-14 , DOI: 10.1109/tifs.2020.3016842
Dayong Ye , Tianqing Zhu , Sheng Shen , Wanlei Zhou

Cyber deception is one of the key approaches used to mislead attackers by hiding or providing inaccurate system information. There are two main factors limiting the real-world application of existing cyber deception approaches. The first limitation is that the number of systems in a network is assumed to be fixed. However, in the real world, the number of systems may be dynamically changed. The second limitation is that attackers’ strategies are simplified in the literature. However, in the real world, attackers may be more powerful than theory suggests. To overcome these two limitations, we propose a novel differentially private game theoretic approach to cyber deception. In this proposed approach, a defender adopts differential privacy mechanisms to strategically change the number of systems and obfuscate the configurations of systems, while an attacker adopts a Bayesian inference approach to infer the real configurations of systems. By using the differential privacy technique, the proposed approach can 1) reduce the impacts on network security resulting from changes in the number of systems and 2) resist attacks regardless of attackers’ reasoning power. The experimental results demonstrate the effectiveness of the proposed approach.

中文翻译:

欺骗网络对手的差异化私人博弈理论方法

网络欺骗是通过隐藏或提供不正确的系统信息来误导攻击者的关键方法之一。有两个主要因素限制了现有网络欺骗方法在现实世界中的应用。第一个限制是假定网络中的系统数是固定的。但是,在现实世界中,系统数量可能会动态变化。第二个局限性是在文献中简化了攻击者的策略。但是,在现实世界中,攻击者可能比理论上认为的强大。为了克服这两个限制,我们提出了一种新颖的差分私人游戏理论方法来进行网络欺骗。在这种提议的方法中,防御者采用差异性隐私机制来从战略上改变系统数量并混淆系统配置,攻击者则采用贝叶斯推断方法来推断系统的实际配置。通过使用差分隐私技术,所提出的方法可以:1)减少由于系统数量变化而对网络安全造成的影响,以及2)不受攻击者推理能力的影响而抵抗攻击。实验结果证明了该方法的有效性。
更新日期:2020-09-15
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