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Although data storage solves many of the problems with conventional storage strategies, data integrity is still an issue. Integrity auditing guarantees data integrity without requiring that every data that is outsourced be downloaded. On the other side, using different data storage providers (DSPs) and employing multiple clones both improve data reliability. But integrity verification alone is not enough. Leveraging independence for cross-provider auditing can remove the requirement for a third-party auditor (TPA) and the computationally demanding tag creation procedure in multi-replica, . A novel method of remote data integrity auditing is presented via the suggested CIA (Collaborative Integrity Auditing) model in order to address this issue. By utilizing hash functions only and eschewing conventional bilinear pairing techniques, it drastically lowers computing overhead. In order to increase flexibility, the architecture also allows free data blocking. CIA is a lightweight and efficient substitute for integrity auditing in multi-replica, multi-SP situations, as evidenced by theoretical and experimental investigations that show it provides great efficiency, flexibility, and security.
Keywords:
Data Storage, TPA , CIA (Collaborative Integrity Auditing)
Cite Article:
"A Collaborative Integrity Auditing Scheme For Data With Server Providers", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 4, page no.b464-b468, April-2025, Available :http://www.ijrti.org/papers/IJRTI2504154.pdf
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ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator