Efficient Audit Services for Data Outsourcing in Clouds
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 6
Abstract
Abstract: This paper introduce a dynamic audit service for integrity verification of untrusted and outsourcedstorages. Our audit service is constructed based on the techniques, fragment structure, random sampling, andindex-hash table, supporting provable updates to outsourced data and timely anomaly detection. Constructed oninteractive proof system (IPS) with the zero knowledge property, our audit service can provide publicauditability without downloading raw data and protect privacy of the data. Also, our audit system can supportdynamic data operations and timely anomaly detection with the help of several effective techniques, such asfragment structure, random sampling, and index-hash table (IHT). We also propose an efficient approach basedon probabilistic query and periodic verification for improving the performance of audit services. A proof-ofconceptprototype is also implemented to evaluate the feasibility and viability of our proposed approaches. Ourexperimental results not only validate the effectiveness of our approaches, but also show that our system doesnot create any significant computation cost and require less extra storage for integrity verification.
Authors and Affiliations
Anuraj C. K
Keywords
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