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.

This study investigated the utilization of memory forensics and the Large Language Model LLaMA-7B for the purpose of detecting and analyzing contemporary ransomware. It articulates a shift from traditional encryption-focused ransomware attacks to more sophisticated strategies, like data exfiltration, underscoring the evolving nature of these cyber threats. The methodology involves an integrated approach, combining memory forensic techniques with the advanced pattern recognition capabilities of LLaMA-7B, to identify and analyze ransomware signatures within system memory. The results demonstrate the efficacy of this combination in accurately distinguishing between ransomware and benign software, with a particular focus on identifying data exfiltration activities. Discussions revolve around the challenges of keeping pace with the evolving ransomware tactics and the ethical considerations in applying AI in cybersecurity. The study concludes by underscoring the importance of continuous innovation in cybersecurity strategies and the potential of AI integration in developing dynamic defense mechanisms against ransomware.