2025/05/25 by Bashir, Adeela, Zia Ush Shamszaman, Shamszaman, Zia Ush +4 · 2 citations
Physics and Astronomy · #Adaptation and Self-Organizing Systems (nlin.AO) #Computer Science and Game Theory (cs.GT) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #FOS: Physical sciences #Opinion Dynamics and Social Influence
paper · doi:10.48550/arxiv.2505.19338
openalex publication_date 2025/05/25 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
In the evolving digital landscape, it is crucial to study the dynamics of cyberattacks and defences. This study uses an Evolutionary Game Theory (EGT) framework to investigate the evolutionary dynamics of attacks and defences in cyberspace. We develop a two-population asymmetric game between attacker and defender to capture the essential factors of costs, potential benefits, and the probability of successful defences. Through mathematical analysis and numerical simulations, we find that systems with high defence intensities show stability with minimal attack frequencies, whereas low-defence environments show instability, and are vulnerable to attacks. Furthermore, we find five equilibria, where the strategy pair always defend and attack emerged as the most likely stable state as cyber domain is characterised by a continuous battle between defenders and attackers. Our theoretical findings align with real-world data from past cyber incidents, demonstrating the interdisciplinary impact, such as fraud detection, risk management and cybersecurity decision-making. Overall, our analysis suggests that adaptive cybersecurity strategies based on EGT can improve resource allocation, enhance system resilience, and reduce the overall risk of cyberattacks. By incorporating real-world data, this study demonstrates the applicability of EGT in addressing the evolving nature of cyber threats and the need for secure digital ecosystems through strategic planning and proactive defence measures.