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  1. Proceedings of the 2016 ACM on Cloud Computing Security Workshop (CCSW '16)
  2. On Information Leakage in Deduplicated Storage Systems
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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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On Information Leakage in Deduplicated Storage Systems

Content Provider ACM Digital Library
Author Ritzdorf, Hubert Soriente, Claudio Karame, Ghassan Čapkun, Srdjan
Abstract Most existing cloud storage providers rely on data deduplication in order to significantly save storage costs by storing duplicate data only once. While the literature has thoroughly analyzed client-side information leakage associated with the use of data deduplication techniques in the cloud, no previous work has analyzed the information leakage associated with access trace information information (e.g., object size and timing) that are available whenever a client uploads a file to a curious cloud provider. In this paper, we address this problem and analyze information leakage associated with data deduplication on a curious storage server. We show that even if the data is encrypted using a key not known by the storage server, the latter can still acquire considerable information about the stored files and even determine which files are stored. We validate our results both analytically and experimentally using a number of real storage datasets.
Starting Page 61
Ending Page 72
Page Count 12
File Format PDF
ISBN 9781450345729
DOI 10.1145/2996429.2996432
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-10-28
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Privacy Storage inference Cloud storage Deduplication Information leakage
Content Type Text
Resource Type Article
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