Game Theory Approaches for Evaluating the Deception-based Moving Target Defense

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Abstract

Moving target defense (MTD) is a proactive defensive mechanism proposed to disrupt and disable potential attacks, thus reversing the defender's disadvantages. Cyber deception is a complementary technique that is often used to enhance MTD by utilizing misinformation to deceive and mislead attackers. Deception elements, such as honeypot, honey bait, honey token, breadcrumb, and well-constructed deception scenes, can significantly increase the uncertainties for attackers. Deception-based MTD techniques can change the asymmetry situation between defenders and attackers through affecting the attacker's perception of the system. However, there is still a lack of understanding about the role of cyber deception in MTD, and few research works have evaluated the effectiveness of cyber deception. In this paper, we propose a concept of deception attack surface to illustrate deception-based moving target defense. Moreover, we propose a quantitative method to measure deception, which includes two core concepts: exposed falseness degree and hidden truth degree. We further formulate a deception game model between an attacker and a defender, in which the defender attempts to protect the entry points on the attack surface by creating or changing a deception attack surface. Furthermore, we provide a detailed example scenario and analyze the deception game's equilibrium. Finally We verify the effectiveness of our proposed method through a real attack and defense experiment.

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APA

Ma, D., Tang, Z., Sun, X., Guo, L., Wang, L., & Chen, K. (2022). Game Theory Approaches for Evaluating the Deception-based Moving Target Defense. In MTD 2022 - Proceedings of the 9th ACM Workshop on Moving Target Defense, co-located with CCS 2022 (pp. 67–77). Association for Computing Machinery, Inc. https://doi.org/10.1145/3560828.3563995

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