Implementation of a data privacy protection method for transaction data

Chun Kuan Lim


Supervised by Jianhua Shao; Moderated by Neetesh Saxena

As an increased amount of transaction data being gathered and stored, how to protect the private information contained within such data sets becomes an important issue. This project aims to implement one of the exisiting algorithms for anonymizing transaction data. The system is expected to be developed in Python.

Initial Plan (03/02/2020) [Zip Archive]

Final Report (05/06/2020) [Zip Archive]

Publication Form