The objective of this project is to develop a privacy-preserving healthcare analytics system using homomorphic encryption. The system allows computation on encrypted patient data to generate insights without exposing sensitive medical information.
Study homomorphic encryption and its application in secure computations.
Analyze privacy concerns in healthcare analytics and data sharing.
Design a system architecture to perform computations on encrypted patient records.
Implement secure query processing without decrypting sensitive data.
Encrypt patient data and maintain secure storage protocols.
Develop analytic modules to extract insights while preserving privacy.
Test computation accuracy and system performance on encrypted datasets.
Evaluate the trade-offs between encryption overhead and analytical results.
Maintain audit logs for all data operations.
Document system strengths, performance metrics, and limitations.
Propose potential real-world deployment and scalability strategies.
