Medical Data Privacy using Homomorphic Encryption

Author(s)	Mr. Aman Kumar, Mr. Akash Yadav, Prof. Dr. Gousiya Begum, Prof. P Poornima
Country	India
Abstract	The digitalization of healthcare information raises serious issues of privacy and security. Classical encryption needs to be decrypted in order to analyze, leaving confidential data vulnerable to compromise. Homomorphic encryption is used in this project to allow computation on encrypted medical information without decryption, thereby preserving privacy from data creation to usage. Built with healthcare in mind, the system supports secure analysis and exchange of data without breaching confidentiality. Our approach targets algorithm efficiency, system integration, and scalability for supporting privacy-protecting healthcare analytics.
Keywords	Homomorphic Encryption, Data Security, Healthcare Data
Field	Computer > Network / Security
Published In	Volume 7, Issue 2, March-April 2025
Published On	2025-04-30
DOI	https://doi.org/10.36948/ijfmr.2025.v07i02.43180
Short DOI	https://doi.org/g9g756

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International Journal For Multidisciplinary Research