Secure Multi-Tenant Cloud Storage with Homomorphic Encryption

Abstract: Multi-tenant cloud environments present significant security challenges, particularly when handling sensitive data for diverse clients. This study proposes a secure storage architecture utilizing homomorphic encryption (HE) to allow computations on encrypted data while preserving privacy and tenant isolation. The system integrates role-based access control and policy-driven query interfaces to ensure confidentiality and secure access. A simulated multi-tenant environment was used to evaluate performance, measuring latency, throughput, ciphertext overhead, and inter-tenant data leakage. Regression and predictive analysis revealed that ciphertext size and computation depth significantly impact performance metrics. The proposed solution demonstrated an 87% accuracy in encrypted query prediction with negligible leakage, proving that homomorphic encryption can support secure, scalable multi-tenant cloud storage. Keywords Homomorphic Encryption, Multi-Tenant Cloud, Data Privacy, Secure Storage, Confidential Computing, Access Control

Authors

Publication Details

Journal
International Journal of Academic and Industrial Research Innovations(IJAIRI)
Published
2025-06-28
DOI
https://doi.org/10.62311/nesx/rphcrcscrcec5
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
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article

Secure Multi-Tenant Cloud Storage with Homomorphic Encryption

Murali Krishna Pasupuleti
1 links
International Journal of Academic and Industrial Research Innovations(IJAIRI)
Cloud Data Security Solutions
article

Secure Multi-Tenant Cloud Storage with Homomorphic Encryption

Murali Krishna Pasupuleti
article en

Abstract

Abstract: Multi-tenant cloud environments present significant security challenges, particularly when handling sensitive data for diverse clients. This study proposes a secure storage architecture utilizing homomorphic encryption (HE) to allow computations on encrypted data while preserving privacy and tenant isolation. The system integrates role-based access control and policy-driven query interfaces to ensure confidentiality and secure access. A simulated multi-tenant environment was used to evaluate performance, measuring latency, throughput, ciphertext overhead, and inter-tenant data leakage. Regression and predictive analysis revealed that ciphertext size and computation depth significantly impact performance metrics. The proposed solution demonstrated an 87% accuracy in encrypted query prediction with negligible leakage, proving that homomorphic encryption can support secure, scalable multi-tenant cloud storage. Keywords Homomorphic Encryption, Multi-Tenant Cloud, Data Privacy, Secure Storage, Confidential Computing, Access Control

International Journal of Academic and Industrial Research Innovations(IJAIRI)Vol. 05(06)
Openalex Percentile: Top 78%
Cloud Data Security Solutions
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Secure Multi-Tenant Cloud Storage with Homomorphic Encryption — Murali Krishna Pasupuleti · International Journal of Academic and Industrial Research Innovations(IJAIRI) (2025) | TGRS Research Map | TGRS