Research related to privacy-enhancing techniques (PET) - NFT Security

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering

Final Year Thesis Oral Defense

Title: "Research related to privacy-enhancing techniques (PET) - NFT Security"

by

WU Qi

Abstract:

Deviated from blockchain technology, non-fungible tokens (NFT) has been a 
controversial field. It has mad many overnight riches, while its boom has 
also led to considerable potential security issues. Identified problems 
include frauds and fraudulent transactions. Therefore, it is crucial to 
analyze NFT projects with questionable security to assist investors in 
making more informed decisions.

Have analyzed existing technologies and products on the market, this 
project will use machine learning approach to process data on NFT projects 
and forecast Rug-pull potentials. It will collect quantitative data about 
project developers, the project, and transactional records for risk 
prediction through a supervised model. Ultimately, the project will result 
in a stand-alone software that can provide both an NFT blacklist and 
predict the risk index by processing data of a new NFT project.


Date            : 2 May 2023 (Tuesday)

Time            : 16:00 - 16:40

Venue           : Room 4475 (near lifts 25/26), HKUST

Advisor         : Dr. WANG Shuai

2nd Reader      : Dr. CHEN Qifeng