Engaging Attackers with a Highly Interactive Honeypot System Using ChatGPT
Umesh Ramchandra Raut, Ajinkya Nagarkar, Chinmay Talnikar, Mustafa Mokashi, Rishabh Sharma · 2023
Cyber-attacks are becoming more sophisticated and frequent[2] in today's environment of growing connectivity. To safeguard networks and systems, it is essential to establish efficient and effective security solutions[4]. This project intends to develop a highly interactive honeypot system, utilizing the ChatGPT API, to engage attackers and gather data on their behaviour. In order to gain knowledge of the attacker's strategies and tactics, the system will react to commands by imitating a weak system. The ultimate objective is to enhance our comprehension of attacker behaviour and support the creation of more effective security solutions. This honeypot system's implementation and evaluation will make significant contributions to the field of computer security.