Behavioral Game Theory and Cybersecurity: A New Perspective on Strategic Human Errors

Abstract

The integration of game theory into cybersecurity has emerged as a pivotal tool for understanding and addressing strategic human errors that often lead to vulnerabilities. Despite advancements in technology, the human element remains a significant challenge in cybersecurity, as individuals frequently make decisions that unintentionally compromise security measures. This paper aims to explore the application of behavioral game theory to cybersecurity, shedding light on how individuals’ strategic decisions and human errors impact the overall security environment. By examining key game-theoretic concepts, such as Nash equilibrium and the strategic behavior of adversaries, this study provides novel insights into the decision-making processes that lead to errors and how these can be mitigated. Additionally, it explores the role of reinforcement learning in enhancing cybersecurity by modeling human behavior in high-stakes environments. Through this analysis, the paper proposes recommendations for improving human decision-making in cybersecurity and enhancing overall security strategies.