Indian Journal of Science and Technology

Abstract

Background/Objectives: Data Storage in the cloud based services are evident everywhere in this day and age starting from Google doc based file management services, file storage services etc. Various schemes with respect to protecting this data range from ciphering services, auditing services, migration services etc. All these services help a cloud user to preserve their data based on a certain time threshold. Methods/Statistical Analysis: The current context of the paper concentrates on delivering an efficient data audit service. Previously these Audit services used to reside within the cloud domain but due to untrustworthiness of many cloud operators, Outside Auditor (OA) implementations were gearing up to validate cloud stored data. Findings: Earlier these OA’s used to download users data at their end to check their integrity leading to users privacy problems. Also it happens to be a time complex operation. Hence we propose an efficient file chunk sampling to detect anomalous changes in the cloud stored data. Index Hash structures play a vital role in this aspect. Applications/Improvements: This process is an iterative procedure instead of one time operation happening at regular intervals and importantly preserving user’s privacy.

Keywords: Audit, Cloud Repository, Distributed Hash Tables, Index Hash Table, Local & Remote Copy, Public Storages