Real -Time Medicine Tracking and Distribution Coordination System

Abstract: The project not only addresses privacy and security needs but also the issue of trust in data sharing practices. By providing a privacy-preserving system that guarantees the confidentiality of individuals' information, the project aims at creating a secure and reliable environment for data sharing. Additionally, the proposed system will support the implementation of various use cases such as health care, banking, and e-commerce where data privacy and security are of paramount importance. The integration of various advanced techniques like decision tree, random forest, or support vector machine for data sensitivity assessment and the selection of the most suitable cryptographic technique for the different types of data to be processed will be also feasible. This will help in providing the best possible solution in terms of data privacy and accessibility.Ultimately, the project is expected to make a strong contribution to the development of privacy-preserving technologies through its innovative approach and the development of the proposed Intelligent Privacy Preserving Data Encryption and Anonymization System. In the long run, the project's results might have a significant impact on the future of data protection technologies as more and more organizations migrate to cloud services and share information across borders.

Keywords: Data protection, encryption, anonymization, privacy-preserving, cloud computing, big data analytics, interconnected systems, decision making, automated systems, trust