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@article{175773,
        author = {M Rajesh and Dr. R. Yamuna},
        title = {Accelerating Secure Data Retrieval in Edge Computing: A Blockchain-Integrated LSH Approach},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4660-4663},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175773},
        abstract = {Traditional cloud-based IoT systems face challenges in ensuring data security, efficient sharing, and scalability. The proposed Edge Blockchain Secure Data Sharing Scheme (EB-SDSS) integrates edge computing with Blockchain technology to address these limitations. By incorporating certificateless signature schemes and symmetric encryption, the framework ensures tamper-proof, decentralized data management. To enhance efficiency, the Locality-Sensitive Hashing (LSH) algorithm facilitates faster data searches. Extensions include the adoption of Elliptic Curve Cryptography (ECC) for lightweight encryption and a caching mechanism to improve query response times. These innovations significantly reduce computational overhead, optimize storage, and enhance the reliability of IoT data sharing. EB-SDSS provides a secure, scalable, and efficient solution, advancing IoT applications in smart cities, healthcare, and transportation systems.},
        keywords = {},
        month = {April},
        }