Role Based Secure Data Access Control for Cost Optimized Cloud Storage Using Data Fragmentation While Maintaining Data Confidentiality

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Subhash Gulabrao Rathod
Mangesh D. Salunke
Hemantkumar B. Jadhav
Deepika Amol Ajalkar
Dinesh Banurao Satre
Devyani Bonde


The paper proposes a role-based secure data access control framework for cost-optimized cloud storage, addressing the challenge of maintaining data security, privacy, integrity, and availability at lower cost. The proposed framework incorporates a secure authenticity scheme to protect data during storage or transfer over the cloud. The framework leverages storage cost optimization by compressing high-resolution images and fragmenting them into multiple encrypted chunks using the owner's private key. The proposed approach offers two layers of security, ensuring that only authorized users can decrypt and reconstruct data into its original format. The implementation results depicts that the proposed scheme outperforms existing systems in various aspects, making it a reliable solution for cloud service providers to enhance data security while reducing storage costs.

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How to Cite
Rathod, S. G. ., Salunke, M. D. ., Jadhav, H. B. ., Ajalkar, D. A. ., Satre, D. B. ., & Bonde, D. . (2023). Role Based Secure Data Access Control for Cost Optimized Cloud Storage Using Data Fragmentation While Maintaining Data Confidentiality. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7s), 316–323.


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