Cited By
View all- Wu XLi JWang HLiu XWu WLi F(2024)A randomized encryption deduplication method against frequency attackJournal of Information Security and Applications10.1016/j.jisa.2024.10377483(103774)Online publication date: Jun-2024
Deduplication vs Privacy Tradeoffs in Cloud Storage
Pages 143 - 151
Abstract
Users often encrypt files they store on cloud storage services to ensure data privacy. Unfortunately, without additional mechanisms, encrypting files prevents the use of server-side deduplication as two identical files will be different when encrypted. Encrypted deduplication techniques combines file encryption and data deduplication. This combination usually requires some form of direct or indirect coordination between the different clients.
In this paper, we address the problem of reconciling the need to encrypt data with the advantages of deduplication. In particular, we study techniques that achieve this objective while avoiding frequency analysis attacks, i.e., attacks that infer the content of an encrypted file based on how frequently the file is stored and/or accessed. We propose a new protocol for assigning encryption keys to files that leverages the use of trusted execution environments to hide the frequencies of chunks from the adversary.
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Index Terms
- Deduplication vs Privacy Tradeoffs in Cloud Storage
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Information & Contributors
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Published In
March 2023
1932 pages
ISBN:9781450395175
DOI:10.1145/3555776
- Conference Chairs:
- Jiman Hong,
- Maart Lanperne,
- Program Chairs:
- Juw Won Park,
- Tomas Cerny,
- Publication Chair:
- Hossain Shahriar
Copyright © 2023 Owner/Author(s).
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 07 June 2023
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View all- Wu XLi JWang HLiu XWu WLi F(2024)A randomized encryption deduplication method against frequency attackJournal of Information Security and Applications10.1016/j.jisa.2024.10377483(103774)Online publication date: Jun-2024
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