Using ChatGPT to Analyze Ransomware Messages and to Predict Ransomware Threats

Fujima, Himari; Kumamoto, Takako; Yoshida, Yunko

doi:10.21203/rs.3.rs-3645967/v1

Cited by 3 publications

(4 citation statements)

References 38 publications

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“…The effectiveness of LLaMa-12B in this context illuminates the promising potential of large language models in the realm of cybersecurity, particularly in the analysis of ransomware [32,51,45]. The model has demonstrated its capability to provide rapid and insightful analysis, which can serve as a valuable tool in the identification and understanding of ransomware [33,52].…”

Section: Role and Impact Of Llama-12b In Ransomware Analysismentioning

confidence: 99%

“…Its ability to dissect and understand ransomware without execution provides valuable insights that are essential for the development of effective countermeasures [12,13,5]. As ransomware continues to evolve, the role of static analysis in understanding and combating such cybersecurity threats will undoubtedly become even more significant [24,32,33].…”

Section: Ransomware Static Analysismentioning

confidence: 99%

See 1 more Smart Citation

LLaMa Assisted Reverse Engineering of Modern Ransomware: A Comparative Analysis with Early Crypto-Ransomware

Vasconcelos,

Almeida

2023

Preprint

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The evolution of ransomware from crypto-ransomware to sophisticated data theft ransomware presents new challenges in cybersecurity. This study investigates the strategic shift in ransomware tactics, emphasizing covert communication and advanced data exfiltration methods. Utilizing the LLaMa-12B model and IDA Pro for reverse engineering, the research delves into the operational intricacies of contemporary ransomware, contrasting recent data theft variants like AlphV and Black Basta with early crypto-ransomware examples like TeslaCrypt and WannaCry. The findings highlight the necessity for adaptive cybersecurity strategies, incorporating advanced detection systems to recognize ransomware activities. The study underscores the importance of expanding research to a broader range of ransomware samples and integrating AI and machine learning technologies for a comprehensive understanding of these evolving threats. The limitations, primarily the research's focus on specific ransomware samples and the subjective interpretation of the LLaMa-12B model's analysis, are acknowledged. Future research should aim to refine AI-driven techniques and develop standardized analysis frameworks, enhancing the effectiveness of cybersecurity defenses against ransomware.

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Section: Role and Impact Of Llama-12b In Ransomware Analysismentioning

confidence: 99%

Section: Ransomware Static Analysismentioning

confidence: 99%

LLaMa Assisted Reverse Engineering of Modern Ransomware: A Comparative Analysis with Early Crypto-Ransomware

Vasconcelos,

Almeida

2023

Preprint

View full text Add to dashboard Cite

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“…Recently, there has been a significant breakthrough in natural language processing achieved by ChatGPT. Consequently, chatbot-driven AI technology now has the ability to interact and communicate with users, generating responses that resemble human conversation [50]. Al-Hawawreh conducted a study in an attempt to find out the practical applications and challenges of using ChatGPT to fight cybercrimes [51].…”

Section: Combating Cybercrimes Using Chatgptmentioning

confidence: 99%

An Intelligence-Based Cybersecurity Approach: A Review

Mohammed,

Badara,

Dan’azumi

2024

J. Intell. Commun.

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Nowadays, cybersecurity stands out as a prominent topic frequently discussed by companies aiming to safeguard their data from hacking attempts. The rise of cyberspace has fuelled the expansion of electronic systems, creating a virtual digital realm that links computers and smartphones within the Internet of Things framework. Thus, the purpose of this study is to present the progress made thus far in applying AI-based intrusion detection systems (IDSs) to address cybercrimes, demonstrating their efficacy in detecting and preventing cyberattacks. The review utilized 4 scholarly databases; ScienceDirect, IEEE-Explore, Web of science, and Springer. 437 studies were extracted from the 4 chosen databases out of which only 54 studies were found to be relevant, thus included. The review found AI-based intrusion detection systems (IDSs) to be more robust and flexible compared to other conventional IDSs. Interestingly, the study results highlight how AI-based intrusion detection systems such as; ANN-based intrusion detection systems, agent-based intrusion detection systems, and Genetic-fuzzy intrusion detection systems, and other machine learning detection systems can be used to assist security experts in analyzing, designing, and developing security frameworks for combating cybercrimes. Lastly, the study proposed some areas for future studies.

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“…By considering the possible strategies and responses of attackers, defenders can preemptively design systems and protocols that are resilient against ransomware attacks [32,47,12,50,51]. This proactive stance, rooted in the strategic insights offered by game theory, marks a significant advancement in how cyber threats are approached and managed [45,44,52]. The evolving landscape of ransomware attacks, with its complex and sophisticated nature, necessitates such a strategic and analytical approach, one that game theory is uniquely positioned to provide [1,42,47].…”

Section: Game Theory In Cybersecuritymentioning

confidence: 99%

Applying ChatGPT-Powered Game Theory in Ransomware Negotiations

Zhu,

Li,

Zhang

2023

Preprint

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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.

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Using ChatGPT to Analyze Ransomware Messages and to Predict Ransomware Threats

Cited by 3 publications

References 38 publications

LLaMa Assisted Reverse Engineering of Modern Ransomware: A Comparative Analysis with Early Crypto-Ransomware

LLaMa Assisted Reverse Engineering of Modern Ransomware: A Comparative Analysis with Early Crypto-Ransomware

An Intelligence-Based Cybersecurity Approach: A Review

Applying ChatGPT-Powered Game Theory in Ransomware Negotiations

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