SECUREDGE: Privacy-Preserving Deduplication with Homomorphic Encryption for Multi-Tenant Cloud Systems
Murala Vijaya, Lade Srinivasa Chakravarthy · International Journal of Basic and Applied Sciences · 2025
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.