Thesis Abstract

The project aims to develop a comprehensive privacy-preserving data anonymization and de-anonymization system to protect sensitive information while allowing authorized users to perform meaningful analysis. The system will employ advanced anonymization techniques to mask personally identifiable information and ensure compliance with data privacy regulations. Additionally, it will incorporate secure de-anonymization mechanisms to enable authorized users to re-identify specific individuals for legitimate purposes. The project will address the challenges of balancing data utility and privacy protection, offering a robust solution for organizations handling sensitive data.

Thesis Overview