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