PRIVACY –PRESERVING DATA VAULTS: SAFE GUARDING PILL INFORMATION IN THE DIGITAL AGE

Abstract

Protecting sensitive medical data, including prescription and pill data, during its handling and storage is critical in the digital era. Data vaults that protect privacy provide a strong way to protect this information, guaranteeing that patient information is kept private but yet available for authorised uses. Focussing on the safe preservation of pharmaceutical data, this project investigates the creation of sophisticated algorithms for privacy-preserving data vaults. We start by contrasting the suggested innovative technique, which combines elements of Zero-Knowledge Proofs with Enhanced Homomorphic Encryption, with other known cryptographic and data masking algorithms, such as Differential Privacy, Secure Multi-Party Computation, and Homomorphic Encryption. Data integrity, computational efficiency, and resistance to different attack vectors are some of the characteristics used in the comparison.As the results show, the suggested method offers aimproved performance against confidentiality compromises, especially in real-time data retrieval scenarios, while existing techniques offer varied degrees of efficiency and security. But this comes with more implementation complexity and processing overhead. Improved security characteristics, like less data leakage and strong user authentication systems, are benefits of the suggested approach. Large-scale applications may experience latency problems and require more powerful hardware, which are drawbacks.The trade-offs between various data privacy strategies are highlighted in this study, and it also highlights the necessity for on-going innovation in privacy-preserving technology, which makes a contribution to the region.