Enabling Secure and Efficient Search Operations on Medical Cloud Data using Dynamic Searchable Symmetric Encryption

Master of computer Application

The paper discusses the challenges of securely outsourcing medical data to cloud servers while maintaining privacy and usability To enable dynamic searching over encrypted data, the first solution combines safe k-Nearest Neighbor and attribute-based encryption algorithms. With this method, the forward privacy and backward privacy that are necessary for dynamic searchable symmetric encryption are achieved. Backward privacy prohibits unauthorized users from deducing previously encrypted terms, while forward privacy assures that additions to the data in the future cannot expose information about earlier searches. The second method fixes the issue with key sharing that kNN-based searchable encryption systems have. It proposes an enhanced solution to facilitate secure and efficient sharing of encryption keys among authorized doctors. By solving this key sharing problem, the usability of the outsourced medical data is improved. The SEDSSE projects that are being developed have a number of benefits over current plans. They exhibit better storage efficiency, search complexity, and updating complexity

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