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@article{175693,
        author = {R. Durga Praveen and J. Dhaneswari and B. Vamsi Krishna and R. Dhanalakshmi and A. Radhika},
        title = {Privacy-Focused Dynamic Searchable Symmetric Encryption for Medical Cloud Environments},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {3531-3535},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175693},
        abstract = {In medical cloud computing, patients can outsource their encrypted medical data to cloud servers, granting access only to authorized doctors. While encryption ensures data confidentiality, it complicates search operations over the encrypted data. To address this, we propose two Secure and Efficient Dynamic Searchable Symmetric Encryption (SEDSSE) schemes tailored for medical cloud environments. The first scheme combines secure k-Nearest Neighbour (kNN) and Attribute-Based Encryption (ABE) to support dynamic search while ensuring forward and backward privacy. To overcome key-sharing challenges inherent in kNN-based schemes, we further introduce an enhanced scheme. Compared to existing approaches, our solutions offer improved storage efficiency, lower search and update complexity, and strong privacy guarantees. Experimental results validate the effectiveness of our schemes in terms of storage overhead, index construction, trapdoor generation, and query performance.},
        keywords = {},
        month = {April},
        }