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• W2774550188 abstract "Cloud computing has become a popular technology for outsourcing data and providing reliable data services. Encryption is essential to preserve privacy of the outsourced sensitive data. Keyword search over encrypted data would enhance the effective utilization of outsourced storage. In this work, we propose an efficient Searchable Symmetric Encryption (SSE) scheme called SEMFS (Secure & Efficient Multi-keyword Fuzzy Search Scheme) to allow the cloud to search over outsourced encrypted data. SEMFS uses quotient filter for efficient indexing and faster searching. The most attractive feature of this scheme is to allow update the entries of index file dynamically (to achieve better performance) preserving data privacy. Experimental analysis shows that SEMFS achieves higher throughput than the bloom filter based scheme, when implemented. Security of SEMFS has been analyzed against known ciphertext and known plaintext attack models." @default.
• W2774550188 created "2017-12-22" @default.
• W2774550188 creator A5071224481 @default.
• W2774550188 creator A5077417527 @default.
• W2774550188 date "2017-01-01" @default.
• W2774550188 modified "2023-09-27" @default.
• W2774550188 title "SEMFS: Secure and Efficient Multi-keyword Fuzzy Search for Cloud Storage" @default.
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• W2774550188 doi "https://doi.org/10.1007/978-3-319-72598-7_4" @default.
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