International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 12 Issue: 10 | Oct 2025
p-ISSN: 2395-0072
www.irjet.net
A Privacy-Preserving Cloud Storage Framework with Attribute-Based Access Control, Data Fragmentation, and Encryption Performance Analysis Shital S. Chavan1, Dr. Sachin P. Patil2, Dipak R. Patil3 1M. Tech Scholar, Department of Computer Science & Engineering, Annasaheb Dange College of Engineering and
Technology, Ashta, chavan.shital266@gmail.com
2Professor, Department of Computer Science & Engineering, Annasaheb Dange College of Engineering and
Technology, Ashta , sachinpatil.it@gmail.com
3Assistant Professor, Department of Computer Science & Engineering, Kasegaon Education Society’s Rajarambapu
Institute of Technology, Affiliated to Shivaji University, Sakharale, MS 415414, India, dipakr.patil@ritindia.edu ---------------------------------------------------------------------***--------------------------------------------------------------------2013). Implementing effective access controls is essential to Abstract - Cloud computing has transformed how
prevent unauthorized access. Approaches such as attributebased encryption help in managing permissions dynamically, but balancing security with accessibility can be challenging.
organizations and individuals store and manage sensitive data. However, issues such as unauthorized access, data breaches, and privacy concerns remain critical. This study presents a Privacy-Preserving Cloud Storage System that integrates secure user registration, attribute-based access control, real-time encryption, and data fragmentation to ensure confidentiality and resilience against breaches. The system employs Fernet-based symmetric encryption, where each user is assigned unique cryptographic keys derived from selected attributes. Uploaded files, whether real or text-based, are encrypted, fragmented into multiple chunks, and securely stored to minimize risks of unauthorized reconstruction. Furthermore, the system incorporates comprehensive encryption performance analysis, including storage efficiency metrics, encryption time evaluation, and high-definition visualizations. An advanced security dashboard is provided to measure system robustness across multiple dimensions, such as encryption strength, fragmentation security, and access control. Experimental results demonstrate that the framework achieves high security, efficient storage, and fine-grained access control, making it a suitable approach for privacypreserving cloud environments.
The need for robust encryption methods is stressed in multiple studies, yet managing keys securely in a cloud environment adds another layer of complexity (Khanezaei & Hanapi, 2014; Rajeswari & Kalaiselvi, 2017). With data privacy being a major obligation, cloud providers must comply with various privacy standards and regulations. The risk of data breaches and unauthorized access are significant privacy concerns. Secure deduplication and privacypreserving auditing are areas of ongoing research aimed at addressing these risks while ensuring data privacy (Bella & Vasundra, 2022; Shin et al., 2017). While deduplication reduces storage costs by eliminating duplicate copies of data, it raises privacy concerns since even encrypted data needs to be handled through specific deduplication protocols. Ensuring security and privacy during deduplication without compromising on storage efficiency is a key challenge (Shin et al., 2017; Z. Yan et al., 2019). Security threats in the cloud computing environment can include data breaches, phishing attacks, and insider threats. Understanding the various dimensions of these threats enables better preparation and defense against potential vulnerabilities. Furthermore, continuous adaptation of solutions is necessary as new types of threats emerge (Bella & Vasundra, 2022; Tabrizchi & Kuchaki Rafsanjani, 2020). Overall, the need for comprehensive security strategies that address these challenges in cloud storage systems is critical. Strategies include employing advanced encryption techniques, enhancing authentication protocols, and ensuring compliance with global data protection standards to build and maintain user trust in cloud services (Mohamad et al., 2023).
Key Words: Privacy-Preserving Cloud Storage , encryption, and data fragmentation, Cloud Storage.
1.INTRODUCTION Cloud storage, while beneficial for its efficiency and flexibility, presents several significant security and privacy challenges. These challenges are critical as they influence data integrity, confidentiality, and trust between cloud service providers and users. One of the main concerns is ensuring the accuracy and consistency of data stored in the cloud. Cloud services must protect data from unauthorized access and modification. Existing solutions often involve encryption (e.g., RSA and AES) to secure data during transfer and at rest. However, the management of encrypted data, especially with deduplication processes, remains complex (Ghallab et al., 2020; Mohamad et al., 2023; G. Yan et al.,
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Encryption alone is insufficient to guarantee data privacy in cloud environments for several reasons. While encryption is effective at securing data at rest and during transmission, the data must be decrypted for processing, exposing it to
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