SECUREDGE: Privacy-Preserving Deduplication with Homomorphic Encryption for Multi-Tenant Cloud Systems

  • Authors

    • Murala Vijaya Department of Computer Science and Engineering, GITAM Deemed to be University, Visakhapatnam, ‎ Andhra Pradesh, India
    • Dr. Lade Srinivasa Chakravarthy Department of Computer Science and Engineering, GITAM Deemed to be University, Visakhapatnam, ‎ Andhra Pradesh, India
    https://doi.org/10.14419/6ekp0r85

    Received date: June 16, 2025

    Accepted date: July 12, 2025

    Published date: July 24, 2025

  • Fully Homomorphic Encryption; Multi-Tenant Data Security; Privacy-Preserving Deduplication; Secure Cloud Deduplication; Homomorphic ‎Encryption.

  • Abstract

    Cloud computing developments have pushed multi-tenant models to become widely used, allowing enterprises to share computing resources ‎without mixing their data. Even though this approach works, using data deduplication to save space causes serious concerns for privacy. ‎Conventional encryption techniques may not support deduplication since they mask similar data sections and may potentially expose concealed data when processing. Our work offers a novel approach called SECUREDGE. It encrypts data using Fully Homomorphic Encryption (FHE) to ensure security. Data privacy is guaranteed by encrypting information before deduplication. It employs an FHE-based method ‎to identify and remove duplicate data without impacting the security edges between tenants. Businesses facing difficulties in the cloud may ‎rest easy with SECUREDGE's intelligent storage solutions and state-of-the-art cryptography‎.

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  • How to Cite

    Vijaya, M., & Chakravarthy , D. L. S. . (2025). SECUREDGE: Privacy-Preserving Deduplication with Homomorphic Encryption for Multi-Tenant Cloud Systems. International Journal of Basic and Applied Sciences, 14(3), 242-257. https://doi.org/10.14419/6ekp0r85