Applying ChatGPT-Powered Game Theory in Ransomware Negotiations
Tingting Zhu, Xiang Li, Wenbo Zhang
Abstract
This study looks into the application of game theory and ChatGPT in the context of ransomware negotiations, providing a novel perspective on cyber threat management. Through a detailed examination of case studies, this research uncovers the intricate dynamics that govern the decision-making process in ransomware scenarios. Key findings highlight the significant role of ransomware group reputations and the strategic input provided by ChatGPT. The integration of game theory offers a structured analytical approach to predict attacker behavior and devise effective defense strategies. The study proposes the use of AI-driven tools to enhance negotiation outcomes and suggests the establishment of a database for tracking ransomware group behaviors. The exploration of these elements presents a comprehensive framework for understanding and addressing the challenges posed by ransomware, marking a significant step forward in cybersecurity strategy and preparedness.