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Achieving Secure and Effective Search Services in Cloud Computing
- Source :
- TrustCom/BigDataSE
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- One critical challenge of today's cloud services is how to provide an effective search service while preserving user privacy. In this paper, we propose a wildcard-based multi-keyword fuzzy search (WMFS) scheme over the encrypted data, which tolerates keyword misspellings by exploiting the indecomposable property of primes. Compared with existing secure fuzzy search schemes, our WMFS scheme has the following merits: 1) Efficiency. It eliminates the requirement of a predefined dictionary and thus supports updates efficiently. 2) High accuracy. It eliminates the false positive and false negative introduced by specific data structures and thus allows the user to retrieve files as accurate as possible. 3) Flexibility. It gives the user great flexibility to specify different search patterns including keyword and substring matching. Extensive experiments on a real data set demonstrate the effectiveness and efficiency of our scheme.
- Subjects :
- Scheme (programming language)
Flexibility (engineering)
Computer science
business.industry
020206 networking & telecommunications
Cloud computing
02 engineering and technology
Approximate string matching
Encryption
Data structure
computer.software_genre
Substring
Wildcard
020204 information systems
0202 electrical engineering, electronic engineering, information engineering
Data mining
business
computer
computer.programming_language
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE)
- Accession number :
- edsair.doi...........7c0bb982a7c68401ebcbb45ddba04e7e