BIG DATA PRIVACY IN BIOMEDICAL RESERACH

Abstract

Abstract: With the exponential growth of biomedical data, the potential for transformative discoveries in healthcare is immense. However, the utilization of such vast datasets raises significant concerns regarding data privacy and security. This project proposes a Java-based solution aimed at preserving privacy while enabling robust analysis of big biomedical datasets. The primary objective of this project is to develop a framework that facilitates secure and privacy-preserving data analysis in biomedical research. The framework employs advanced cryptographic techniques and secure multi-party computation protocols to ensure that sensitive patient information remains confidential throughout the analysis process To demonstrate the efficacy of the proposed solution, a prototype system will be developed and evaluated using real-world biomedical datasets. Performance metrics such as computational overhead, data transmission latency, and scalability will be assessed to validate the feasibility and effectiveness of the framework. In conclusion, this project aims to address the pressing need for privacy-preserving big data analysis in biomedical research, thereby facilitating responsible data sharing and advancing scientific discovery while safeguarding individual privacy rights. Keywords– Big data privacy, biomedical search, java project, privacy preserving techniques,HIPAA, GDPR.