Paper Details

Cloud computing has generated abundant interest within the analysis community in recent years for itsseveral benefits, however has additionally raise security and privacy considerations. The storage and access ofconfidential documents are identified together of the central issues within the space. especially, several researchersinvestigated solutions to go looking over encrypted documents keep on remote cloud servers. whereas several schemesare planned to perform conjunctive keyword search, less attention has been noted on additional specialized looking outtechniques. During this paper, we have a tendency to gift a phrase search technique supported Bloom filters that'ssignificantly quicker than existing solutions, with similar or higher storage and communication price. In this project, atthe time of file uploading on cloud we check file deduplication. We store only unique files on cloud. Using MD5Algorithm We check file deduplication. File deduplication checking is used for cloud storage management. Ourtechnique uses a series of n-gram filters to support the practicality. The theme exhibits a trade-off between storage andfalse positive rate, and is filmable to defend against inclusion-relation attacks. A style approach supported Associate inNursing application’s target false positive rate is additionally represented. Secure data deduplication can significantlyreduce the communication and storage overheads in cloud storage services, and has potential applications in our bigdata-driven society.

Priyanka Raut, Nikhil Lohakare, Sheetal Kolekar, Prof.Sneha Pisey, “FAST PHRASE SEARCH FOR ENCRYPTED CLOUD STORAGE”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 5, pp. 597-601, May 2018.