Secure Healthcare Predictive Modeling with Homomorphic Encryption
Paras Shekhu, Shuchi Sethi, Alka Chaudhary · 2024
This project integrates TensorFlow, homomorphic encryption, and blockchain for secure data analytics. Prioritizing user privacy and data integrity, the solution adeptly processes user inputs, conducts TensorFlow predictions, and employs homomorphic encryption. Our findings emphasize the effectiveness of this integrated system, offering a seamless approach. Interpretations reveal the potential for decentralized and secure analytics, particularly in handling sensitive data. Implications underscore the reliability of our solution for safeguarding user privacy within machine learning contexts.