International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 05 | May 2025
p-ISSN: 2395-0072
www.irjet.net
MULTI OWNER DATA SHARING WITH FULLY HOMOMORPHIC ENCRYPTION (FHE) FOR CLOUD STORAGE SECURITY Mr.YOGESH. P1, Ms. NIHAL BABA2 1Mr. YOGESH. P, M.sc CFIS, Department of Computer Science and Engineering,
2yogeshsam019@gmail.com,7845938934, Dr.MGR UNIVERSITY, Chennai, India
2 Ms. NIHAL BABA , Assistant Professor, Cyber forensics and information security,University of Madras, Chepauk, Chennai, India ---------------------------------------------------------------------***--------------------------------------------------------------------offer the potential to perform computations directly on Abstract - The rapid proliferation of cloud computing has encrypted data, thus maintaining throughout its lifecycle. [2] .
introduced critical challenges regarding data security and privacy, particularly when confidential information is distributed among multiple stakeholders. Conventional encryption schemes safeguard data at rest but necessitate decryption for computation, exposing data to potential compromise. Large-scale deployment of cloud computing is posing serious security and privacy concerns, especially when sensitive information is shared between multiple stakeholders. While traditional encryption effectively protects data at rest, it requires decryption for processing and is thus susceptible to potential attacks. This work proposes a secure, privacy-preserving system that utilizes Fully Homomorphic Encryption (FHE) to enable computations on encrypted data in place without decryption. The suggested system supports multi-owner data management, advanced access control policies, and encrypted computation over an untrusted cloud environment. A prototype system has been implemented and tested, demonstrating the feasibility of privacy-preserving data sharing and processing with acceptable performance overheads. This work bridges the gap between secure data storage and practical encrypted cloud computing.
This paper presents a novel approach that combines multi-owner data sharing with FHE-based encrypted computation, ensuring that cloud providers remain oblivious to both the stored data and the computations performed. We design and implement a prototype system, focusing on enabling secure encrypted search, basic computations, and fine-grained access control in a multiowner environment.
2. LITERATURE REVIEW Craig Gentry (2009) [3] had pioneered the concept of Fully Homomorphic Encryption by constructing the first plausible FHE scheme based on ideal lattices. His groundbreaking work allowed arbitrary computation on encrypted data without decryption. Subsequent improvements by Brakerski, Gentry, and Vaikuntanathan (BGV scheme, 2011) and Cheon et al. (CKKS scheme, 2017) significantly enhanced the efficiency and practicality of FHE for real-world applications.
Key Words:
Fully Homomorphic Encryption, Cloud Storage Security, Multi-Owner Data Sharing, Encrypted Computation, Access Control, Privacy Preservation.
Jin Li, Xiaofeng Chen, and colleagues (2010) [4] had explored multi-owner data sharing in cloud storage using Proxy Re-Encryption (PRE). They introduced a secure method enabling multiple users to share encrypted data with dynamic user groups without revealing private data to the cloud server. However, these schemes still relied on partial decryption or trust assumptions.
1. INTRODUCTION The shift toward cloud-based infrastructures has transformed how organizations manage and share their data. However, outsourcing data storage and computation to third-party cloud providers introduces inherent risks, particularly concerning data confidentiality and user privacy. These risks are further exacerbated when multiple data owners collaboratively manage sensitive datasets, such as healthcare records, financial documents, or legal contracts. [1] .
Dan Boneh, Giovanni Di Crescenzo, Rafail Ostrovsky, and Giuseppe Persiano (2004) [5] had proposed Public Key Encryption with Keyword Search (PEKS), allowing encrypted keyword searches without decrypting documents. Although revolutionary, PEKS-based systems tend to leak search and access patterns, motivating stronger privacy models like those offered by FHE-based search systems.
Traditional encryption methods protect data in transit and at rest but necessitate decryption for processing, creating a vulnerability window. Emerging cryptographic techniques such as Fully Homomorphic Encryption (FHE)
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Amit Sahai and Brent Waters (2005) [6] had introduced Attribute-Based Encryption (ABE), a powerful encryption paradigm enabling fine-grained access control over
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