TSS: A two‐party secure server‐aid chunking algorithm

Chunking is one of the most important processes in a secure deduplication system. It determines the deduplication ratio, metadata size, and the encryption key number. Existing chunking algorithms can be categorized as client‐side chunking algorithm and the server‐aid chunking algorithm. Although the...

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Bibliographic Details
Published inConcurrency and computation Vol. 34; no. 12
Main Authors Tian, Wenlong, Li, Ruixuan, Xu, Zhiyong
Format Journal Article
LanguageEnglish
Published Hoboken Wiley Subscription Services, Inc 30.05.2022
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ISSN1532-0626
1532-0634
DOI10.1002/cpe.6577

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Summary:Chunking is one of the most important processes in a secure deduplication system. It determines the deduplication ratio, metadata size, and the encryption key number. Existing chunking algorithms can be categorized as client‐side chunking algorithm and the server‐aid chunking algorithm. Although the former one can directly be applied into the secure deduplication, it ignores the management overhead caused by the metadata size and encryption key number. Thus, the conventional server‐aid chunking algorithm is proposed. However, it is not secure because the interaction between the client and the server is based on the plaintext. Thus, we propose a two‐party secure server‐aid chunking algorithm, TSS. It supports the secure server‐aid interaction and reduces the metadata size and the encryption key number in the secure deduplication with a comparable deduplication ratio. The theoretical proof and experimental results show that our method outperforms the state‐of‐the‐art chunking algorithm, elastic chunking algorithm.
Bibliography:Funding information
Hunan Province research foundation, 19C1624; Ministry of Education Humanities and Foundation on Humanities and Social Sciences of the Ministry of Education, 20YJC880027; South of China University research foundation, 190XQD121; Major Projects of the National Social Science Foundation, 16ZDA092; National Key Research and Development Program of China, 2016QY01W0202; 2016YFB0800402; National Natural Science Foundation of China, 61433006; 61572221; U1401258; U1836204; U1936108; National Science Foundation, CNS 1526190; Teaching Reform Foundation, 2019YB‐XJG30; Natural Science Foundation of Hunan Province of China, 2021JJ40468
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ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.6577