Regenerating Code Based Cloud Storage using Privacy Preserving Public Auditing

July 2017
Vol-3, Issue-4
Paper ID: 6114
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Computer Engineering
Keywords
Cloud storage regenerating codes Public auditing Privacy Preserving proxy
Abstract
The major scenario in Cloud Storage is, users can store their data and enjoy the on-demand high value applications and services from a common pool of configurable adding resources, without the problem of inherent data storage and conservation. To protect stored data in cloud storage against corruptions, adding fault tolerance to cloud storage together with data integrity checking and failure reparation becomes critical. However, the fact that users no longer have physical control over the authorized data makes the data reliability protection in Cloud Computing a tough task, especially for users with controlled computing resources. Also, users should be able to use the cloud loading as if it is local, without worrying about the need to verify its honesty. Thus, enabling public auditability for cloud storage is of critical position so that users can hand over to a third party auditor (TPA) to check the dependability of outsourced data and be worry-free. To securely introduce an effective TPA, the auditing process should bring in no new revelations towards user data privacy, and introduce no other online problem to user, we suggest a secure cloud storage system associate privacy-preserving public auditing. General security and performance analysis show that the proposed structures are provably secure and highly effective. Thus, our scheme can completely release data owners from online burden.

Author Information

# Name Institute / Affiliation
1 Swapnali Manish Nehete SSGBCOET, Bhusawal, Maharashtra, India
2 Prof. Yogesh S. Patil SSGBCOET, Bhusawal, Maharashtra, India
3 Prof. Dinesh D. Patil SSGBCOET, Bhusawal, Maharashtra, India

How to Cite

Use the following formats to cite this article in your research.

APA Style
Nehete, Swapnali Manish, Patil, Prof. Yogesh S., & Patil, Prof. Dinesh D. (2017). Regenerating Code Based Cloud Storage using Privacy Preserving Public Auditing. International Journal of Advance Research and Innovative Ideas In Education, 3(4), 1076-1081.
MLA Style
Nehete, Swapnali Manish, et al. "Regenerating Code Based Cloud Storage using Privacy Preserving Public Auditing." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, 2017, pp. 1076-1081.
IEEE Style
Swapnali Manish Nehete, Prof. Yogesh S. Patil, and Prof. Dinesh D. Patil, "Regenerating Code Based Cloud Storage using Privacy Preserving Public Auditing," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 4, pp. 1076-1081, 2017.
Vancouver Style
Nehete Swapnali Manish, Patil Prof. Yogesh S., Patil Prof. Dinesh D.. Regenerating Code Based Cloud Storage using Privacy Preserving Public Auditing. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(4):1076-1081.
Harvard Style
Nehete, Swapnali Manish, Patil, Prof. Yogesh S., & Patil, Prof. Dinesh D. (2017) 'Regenerating Code Based Cloud Storage using Privacy Preserving Public Auditing', International Journal of Advance Research and Innovative Ideas In Education, 3(4), pp. 1076-1081.
Chicago Style
Nehete, Swapnali Manish, Prof. Yogesh S. Patil, and Prof. Dinesh D. Patil. "Regenerating Code Based Cloud Storage using Privacy Preserving Public Auditing." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 1076-1081.
Turabian Style
Nehete, Swapnali Manish, Prof. Yogesh S. Patil, and Prof. Dinesh D. Patil. "Regenerating Code Based Cloud Storage using Privacy Preserving Public Auditing." International Journal of Advance Research and Innovative Ideas In Education 3, no. 4 (2017): 1076-1081.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable