Members: AP. Dr. Roslan Ismail, AP. Dr Salman Yussof, AP. Dr. Abdul Rahim Ahmad, Dr Fiza Abdul Rahim, Ms. Ramona Ramli

Funding Body: Tenaga Nasional Berhad (Seeding Fund)

Status: On-going

Description: This project aims to develop an intelligent data selection algorithm and a prototype application that would enable data analytics task to be done while preserving the privacy of user information. In previous project (Privacy Preservation technique for Smart Metering Data) an application has been developed that can apply privacy preservation techniques to a set of data generated by the smart meter. However, the selection of data fields on which the privacy preservation techniques are to be applied needs to be done manually. The fields need to be properly chosen such that the analytics task can still be done while the privacy of user information is preserved. The problem is that it may be difficult for the user to choose the relevant fields. Therefore, this project proposed an intelligent algorithm that can automatically choose the relevant fields on which the privacy preservation techniques should be applied to. Noted that the privacy preservation task on large data is a computing-intensive process. Hence, by identifying which data need to be shared, the privacy preservation task can be performed much faster as compared to processing the whole data. This project will give impacts to the TNB as the intelligent system enables automatic selection of data from the selected fields to perform analytic tasks. Furthermore, this project will also give impacts to the nation through a trustworthy system that will preserve the privacy of customer data and increase the public confidence towards TNB.