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  1. Proceedings of the 2016 ACM on Cloud Computing Security Workshop (CCSW '16)
  2. Generic Efficient Dynamic Proofs of Retrievability
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Data Analytics: Understanding Human Behavior based on Mobile Network Data
Executing Boolean Queries on an Encrypted Bitmap Index
Stratum Filtering: Cloud-based Detection of Attack Sources
On Information Leakage in Deduplicated Storage Systems
Co-location Resistant Strategy with Full Resources Optimization
Poly-Logarithmic Range Queries on Encrypted Data with Small Leakage
Oblivious RAM as a Substrate for Cloud Storage -- The Leakage Challenge Ahead
Message-Locked Proofs of Retrievability with Secure Deduplication
Encrypting Analytical Web Applications
Towards an Efficient Policy Evaluation Process in Multi-Tenancy Cloud Environments
Generic Efficient Dynamic Proofs of Retrievability
Assured Deletion in the Cloud: Requirements, Challenges and Future Directions

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Conference Proceedings

Generic Efficient Dynamic Proofs of Retrievability

Content Provider ACM Digital Library
Author Küpçü, Alptekin Mohammad Etemad, Mohammad
Abstract Together with its great advantages, cloud storage brought many interesting security issues to our attention. Since 2007, with the first efficient storage integrity protocols Proofs of Retrievability (PoR) of Juels and Kaliski, and Provable Data Possession (PDP) of Ateniese et al., many researchers worked on such protocols. The difference among PDP and PoR models were greatly debated. The first DPDP scheme was shown by Erway et al. in 2009, while the first DPoR scheme was created by Cash et al. in 2013. We show how to obtain DPoR from DPDP, PDP, and erasure codes, making us realize that even though we did not know it, we could have had a DPoR solution in 2009. We propose a general framework for constructing DPoR schemes that encapsulates known DPoR schemes as its special cases. We show practical and interesting optimizations enabling better performance than Chandran et al. and Shi et al. constructions. For the first time, we show how to obtain constant audit bandwidth for DPoR, independent of the data size, and how the client can greatly speed up updates with O(λ√n) local storage (where n is the number of blocks, and λ is the security parameter), which corresponds to ~ 3MB for 10GB outsourced data, and can easily be obtained in today's smart phones, let alone computers.
Starting Page 85
Ending Page 96
Page Count 12
File Format PDF
ISBN 9781450345729
DOI 10.1145/2996429.2996439
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-10-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Secure data outsourcing Dynamic proofs of retrievability
Content Type Text
Resource Type Article
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