PROJECT TITLE :

Fast Phrase Search For Encrypted Cloud Storage - 2017

ABSTRACT:

Cloud computing has generated abundant interest within the research community lately for its several benefits, but has also raise security and privacy considerations. The storage and access of confidential documents are identified mutually of the central issues in the area. In explicit, several researchers investigated solutions to go looking over encrypted documents stored on remote cloud servers. Whereas many schemes have been proposed to perform conjunctive keyword search, less attention has been noted on more specialized looking out techniques. In this paper, we gift a phrase search technique based on Bloom filters that's considerably faster than existing solutions, with similar or better storage and communication value. Our technique uses a series of n-gram filters to support the functionality. The theme exhibits a trade-off between storage and false positive rate, and is adaptable to defend against inclusion-relation attacks. A design approach based mostly on an application’s target false positive rate is additionally described.


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