Welcome to the repository for our final year capstone project, where we have developed a highly interactive honeypot system. Our objective was to engage attackers using the ChatGPT API, allowing us to gather valuable data on their behavior. The system responds to commands by simulating a vulnerable system, providing insights into attacker strategies and tactics.

January 2023 to May 2023

• Mustafa Mokashi
• Ajinkya Nagarkar
• Chinmay Talnikar
• Rishabh Sharma

Our project was guided by Prof. Umesh Raut, a professor with expertise in the cybersecurity field. Their guidance and insights significantly contributed to the success of our project.

Find the final presentation for our capstone project within this repository. It encapsulates the essence of our work, methodologies, and outcomes.

Our research was presented at the IEEE 7th International Conference on Computing, Communication, Control, and Automation (ICCUBEA-2023) on August 18 and 19, 2023. The paper, titled "Engaging Attackers with Highly Interactive Honeypot System Using ChatGPT," is included in this repository.

• Title: Engaging Attackers with Highly Interactive Honeypot System Using ChatGPT
• Conference: IEEE 7th International Conference on Computing, Communication, Control, and Automation (ICCUBEA-2023)

Feel free to explore our project journey, presentation, and the published paper. For any inquiries or discussions, please contact us. Thank you.

Note: The final presentation and paper are provided in the repository.