FAST PHRASE SEARCH FOR ENCRYPTED CLOUD STORAGE

Abstract

Cloud computing has generated abundant interest within the analysis community in recent years for its
several benefits, however has additionally raise security and privacy considerations. The storage and access of
confidential documents are identified together of the central issues within the space. especially, several researchers
investigated solutions to go looking over encrypted documents keep on remote cloud servers. whereas several schemes
are planned to perform conjunctive keyword search, less attention has been noted on additional specialized looking out
techniques. During this paper, we have a tendency to gift a phrase search technique supported Bloom filters that's
significantly quicker than existing solutions, with similar or higher storage and communication price. In this project, at
the time of file uploading on cloud we check file deduplication. We store only unique files on cloud. Using MD5
Algorithm We check file deduplication. File deduplication checking is used for cloud storage management. Our
technique uses a series of n-gram filters to support the practicality. The theme exhibits a trade-off between storage and
false positive rate, and is filmable to defend against inclusion-relation attacks. A style approach supported Associate in
Nursing application’s target false positive rate is additionally represented. Secure data deduplication can significantly
reduce the communication and storage overheads in cloud storage services, and has potential applications in our big
data-driven society.