Auditable Versioned Data Storage Outsourcing
Ertem Esiner, Anwitaman Datta

TL;DR
This paper introduces a novel auditable, versioned data storage scheme that efficiently supports dynamic, multi-version data verification with minimal overhead, enhancing accountability in outsourced data management.
Contribution
It presents algorithms for full persistence in an optimized skip list, enabling efficient auditing of all data versions with deduplication and minimal performance impact.
Findings
Supports auditing of all data versions with negligible overhead.
Achieves deduplication at the block level for storage efficiency.
Commit operations incur only about 5% additional time.
Abstract
Auditability is crucial for data outsourcing, facilitating accountability and identifying data loss or corruption incidents in a timely manner, reducing in turn the risks from such losses. In recent years, in synch with the growing trend of outsourcing, a lot of progress has been made in designing probabilistic (for efficiency) provable data possession (PDP) schemes. However, even the recent and advanced PDP solutions that do deal with dynamic data, do so in a limited manner, and for only the latest version of the data. A naive solution treating different versions in isolation would work, but leads to tremendous overheads, and is undesirable. In this paper, we present algorithms to achieve full persistence (all intermediate configurations are preserved and are modifiable) for an optimized skip list (known as FlexList) so that versioned data can be audited. The proposed scheme provides…
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Taxonomy
TopicsCloud Data Security Solutions · Cryptography and Data Security · Data Quality and Management
