CyQuaPro: A Stackelberg Game Framework for Cyberdefense for Distributed Systems

As distributed systems become increasingly interconnected,efficiently allocating cybersecurity resources to defend against sophisticated cyber threats is paramount. In this paper we address this challengeby formulating a Stackelberg game-theoretic model for optimal resourceallocation in distributed environments. Our approach strategically models interactions between attackers and defenders, capturing the dynamicnature of cyber threats and the defender’s limited resources. We proposea new algorithm called Cyber Quadratic Programming (CyQuaAPro) tosolve the optimization problem, considering factors such as target correlation, asset value, and budget constraints. Our model demonstraterobustness and scalability across multiple scenarios, providing practicalinsights into resource prioritization and defensive strategy optimizationin complex interconnected systems.

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Publication Details

Journal
Maryland Shared Open Access Repository (USMAI Consortium)
Published
2025-10-13
DOI
https://doi.org/10.13016/m2yrsg-ei2v
Primary Topic
Infrastructure Resilience and Vulnerability Analysis
Type
article
Field-Weighted Citation Impact
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article

CyQuaPro: A Stackelberg Game Framework for Cyberdefense for Distributed Systems

Aryya Gangopadhyay, Neil Kpamegan
Maryland Shared Open Access Repository (USMAI Consortium)
Infrastructure Resilience and Vulnerability Analysis
article

CyQuaPro: A Stackelberg Game Framework for Cyberdefense for Distributed Systems

Aryya Gangopadhyay, Neil Kpamegan
article en

Abstract

As distributed systems become increasingly interconnected,efficiently allocating cybersecurity resources to defend against sophisticated cyber threats is paramount. In this paper we address this challengeby formulating a Stackelberg game-theoretic model for optimal resourceallocation in distributed environments. Our approach strategically models interactions between attackers and defenders, capturing the dynamicnature of cyber threats and the defender’s limited resources. We proposea new algorithm called Cyber Quadratic Programming (CyQuaAPro) tosolve the optimization problem, considering factors such as target correlation, asset value, and budget constraints. Our model demonstraterobustness and scalability across multiple scenarios, providing practicalinsights into resource prioritization and defensive strategy optimizationin complex interconnected systems.

Maryland Shared Open Access Repository (USMAI Consortium)
Openalex Percentile: Top 30%
Infrastructure Resilience and Vulnerability Analysis
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