Cloud computing being a new era in the research community because of its many advantages but it also consists of security and privacy concerns. The access of confidential documents and storage have been identified as one of the main issues in the area. To be precise many researchers tried to find solutions to search over encrypted documents stored on remote cloud servers. While many of them have been proposed to perform conjunctive keyword, search giving less attention on more specialized searching techniques. In this paper, we implement a phrase search technique based on Bloom filters that is significantly faster than existing solutions, with similar or better storage and communication cost. This technique uses a series of n-gram filters to support the functionality. This provides a trade-off between storage and false positive rate and is capable to defend against inclusion-relation attacks.
Cloud Computing, Phrase Search
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