Paper Number
ICIS2025-1260
Paper Type
Complete
Abstract
Artificial Intelligence (AI) and Machine Learning (ML) are transforming the cybersecurity landscape. These technologies have shown significant promise in enhancing cyberdefense capabilities. For instance, intrusion detection system (IDS) and spam filters utilize machine learning algorithms to continuously monitor networks for abnormal behavior. However, there is increasing trend that cyberattackers are also adopting AI tools to enhance their offensive strategies. When both attackers and defenders leverage AI technologies, the balance of power may shift toward the side that can more effectively exploit AI capabilities. In this research, we study the importance of mastering AI dominance in cybersecurity contest between attackers and defenders within a dynamic game framework. Using ransomware attacks as a case study, we explore how the evolution of AI impacts the outcomes and payoffs of cyberattacks. Organizations facing cyberattack threats can utilize similar models to simulate strategic defenses and assess various levels of AI integration needed for effective cybersecurity.
Recommended Citation
Li, Zhen and Liao, Qi, "Does AI Benefit Cyberattackers More? A Dynamic Game Theory Study of Ransomware Attacks in Cybersecurity" (2025). ICIS 2025 Proceedings. 3.
https://aisel.aisnet.org/icis2025/cyb_security/cyb_security/3
Does AI Benefit Cyberattackers More? A Dynamic Game Theory Study of Ransomware Attacks in Cybersecurity
Artificial Intelligence (AI) and Machine Learning (ML) are transforming the cybersecurity landscape. These technologies have shown significant promise in enhancing cyberdefense capabilities. For instance, intrusion detection system (IDS) and spam filters utilize machine learning algorithms to continuously monitor networks for abnormal behavior. However, there is increasing trend that cyberattackers are also adopting AI tools to enhance their offensive strategies. When both attackers and defenders leverage AI technologies, the balance of power may shift toward the side that can more effectively exploit AI capabilities. In this research, we study the importance of mastering AI dominance in cybersecurity contest between attackers and defenders within a dynamic game framework. Using ransomware attacks as a case study, we explore how the evolution of AI impacts the outcomes and payoffs of cyberattacks. Organizations facing cyberattack threats can utilize similar models to simulate strategic defenses and assess various levels of AI integration needed for effective cybersecurity.
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09-Cybersecurity