Signaling Security Games with Attack Planner Deception

This paper studies a class of attack behavior in which adversaries assume the role of initiators, orchestrating and implementing attacks by hiring executors. We examine the dynamics of strategic attacks, modeling the initiator as an attack planner and constructing the interaction with the defender within a defender–attack planner framework. The individuals tasked with executing the attacks are identified as attackers. To ensure the attackers’ adherence to the planner’s directives, we concurrently consider the interests of each attacker by formulating a multi-objective problem. Furthermore, acknowledging the information asymmetry where defenders have incomplete knowledge of the planners’ payments and the attackers’ profiles, and recognizing the planner’s potential to exploit this for strategic deception, we develop a defender–attack planner model with deception based on signaling games. Subsequently, through the analysis of the interaction between the defender and planner, we refine the model into a tri-level programming problem. To address this, we introduce an effective decomposition algorithm leveraging genetic algorithms. Ultimately, our numerical experiments substantiate that the attack planner’s deceptive strategy indeed yield greater benefits.

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Institutions

Publication Details

Journal
Mathematics
Published
2024-08-16
DOI
https://doi.org/10.3390/math12162532
Citations
1
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.35

Funders

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article

Signaling Security Games with Attack Planner Deception

Santing He, Mingchu Li, Runfa Zhang
1 citations
Mathematics
Network Security and Intrusion Detection
0.35
article

Signaling Security Games with Attack Planner Deception

Santing He, Mingchu Li, Runfa Zhang
article en
1 citations

Abstract

This paper studies a class of attack behavior in which adversaries assume the role of initiators, orchestrating and implementing attacks by hiring executors. We examine the dynamics of strategic attacks, modeling the initiator as an attack planner and constructing the interaction with the defender within a defender–attack planner framework. The individuals tasked with executing the attacks are identified as attackers. To ensure the attackers’ adherence to the planner’s directives, we concurrently consider the interests of each attacker by formulating a multi-objective problem. Furthermore, acknowledging the information asymmetry where defenders have incomplete knowledge of the planners’ payments and the attackers’ profiles, and recognizing the planner’s potential to exploit this for strategic deception, we develop a defender–attack planner model with deception based on signaling games. Subsequently, through the analysis of the interaction between the defender and planner, we refine the model into a tri-level programming problem. To address this, we introduce an effective decomposition algorithm leveraging genetic algorithms. Ultimately, our numerical experiments substantiate that the attack planner’s deceptive strategy indeed yield greater benefits.

MathematicsVol. 12(16)
Shanxi University (CN), Dalian University of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 40%
Network Security and Intrusion Detection
0.35
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Signaling Security Games with Attack Planner Deception — Santing He, Mingchu Li, et al. · Mathematics (2024) | TGRS Research Map | TGRS