Divakarla, U.Chandrasekaran, K.Reddy, K.H.K.2026-02-032025Proceedings on Engineering Sciences, 2025, 7, 1, pp. 669-67826202832https://doi.org/10.24874/PES07.01D.022https://idr.nitk.ac.in/handle/123456789/20737In collaborative data analysis, secure multiparty computation can be utilised to compute statistical functions in a private manner. For the purpose of developing apps that require safe multi-party collaboration, JIFF is an open-source JavaScript library. We use JIFF to create an application that allows two parties to collaborate on medical data analysis, including the processing of sensitive patient data while maintaining data confidentiality and privacy. A decentralized system that ensures data security and secure computation of private information is provided by the JIFF framework. We assess the system's functionality and privacy-preserving skills, proving that it can effectively protect data privacy while still producing reliable analysis findings. © 2025 Published by Faculty of Engineeringg.Collaborative Data AnalysisData PrivacyJIFFSecret Sharing SchemeSecure Multiparty Computation