Supervisor(s): Ryan Ko,Omar Jarkas,Taejun Choi,David Gaul

- The research question of this project is whether Large Language Models can be utilized to de-anonymize Bitcoin transactions to catch the cybercrimes exploiting the anonymity of Bitcoin - I found the best parameters and configurations of Llama2 to de-anonymize Bitcoin transactions

Supervisor(s): Ryan Ko,Omar Jarkas,Taejun Choi

Cryptocurrencies, particularly Bitcoin, has attracted wide range of users, including cybercriminals who exploit the pseudo-anonymity these currencies offer by using the service for illicit activities. This project aims to deanonymize cryptocurrency transactions by linking them to real-world identities, with a focus on estimating the origin IP address of the transaction initiator.

Supervisor(s): Naipeng Dong

This project studies vulnerabilities of smart contracts and explores existing and potential technology in detecting and preventing these vulnerabilities.