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A Survey of Secure Data Deduplication Schemes for Cloud Storage Systems
- Source :
- ACM Computing Surveys. 49:1-38
- Publication Year :
- 2017
- Publisher :
- Association for Computing Machinery (ACM), 2017.
-
Abstract
- Data deduplication has attracted many cloud service providers (CSPs) as a way to reduce storage costs. Even though the general deduplication approach has been increasingly accepted, it comes with many security and privacy problems due to the outsourced data delivery models of cloud storage. To deal with specific security and privacy issues, secure deduplication techniques have been proposed for cloud data, leading to a diverse range of solutions and trade-offs. Hence, in this article, we discuss ongoing research on secure deduplication for cloud data in consideration of the attack scenarios exploited most widely in cloud storage. On the basis of classification of deduplication system, we explore security risks and attack scenarios from both inside and outside adversaries. We then describe state-of-the-art secure deduplication techniques for each approach that deal with different security issues under specific or combined threat models, which include both cryptographic and protocol solutions. We discuss and compare each scheme in terms of security and efficiency specific to different security goals. Finally, we identify and discuss unresolved issues and further research challenges for secure deduplication in cloud storage.
- Subjects :
- Scheme (programming language)
020203 distributed computing
Cloud computing security
General Computer Science
business.industry
Computer science
020206 networking & telecommunications
Cryptography
02 engineering and technology
Cloud service provider
Computer security
computer.software_genre
Theoretical Computer Science
Threat model
Data_FILES
0202 electrical engineering, electronic engineering, information engineering
Data deduplication
business
computer
Cloud storage
Protocol (object-oriented programming)
computer.programming_language
Subjects
Details
- ISSN :
- 15577341 and 03600300
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- ACM Computing Surveys
- Accession number :
- edsair.doi...........ccc0ca58c1176f37950f61303f564a95