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

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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Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-07-24
DOI
https://doi.org/10.14419/6ekp0r85
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Murala Vijaya, Lade Srinivasa Chakravarthy
International Journal of Basic and Applied Sciences
Cloud Data Security Solutions
article

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

Murala Vijaya, Lade Srinivasa Chakravarthy
article en

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.

International Journal of Basic and Applied SciencesVol. 14(3)
GITAM University (IN)
Gandhi Institute of Technology and Management
Openalex Percentile: Top 73%
Cloud Data Security Solutions
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