EFFICIENT RANKED AND SECURE FILE RETRIEVAL IN CLOUD COMPUTING

Abstract

Cloud computing facilitates extremely scalable services that can be consumed over internet. An important aspect of the cloud services is that user data are stored remotely in unknown machines in which users do not posses or manage. Since the data’s are stored remotely, we have to keep in mind that sensitive cloud data have to be encrypted before they are outsourced to the commercial public cloud, which makes efficient data utilization service. Searchable encryption file retrieval technique allows users to securely search over encrypted data through search word. Ranking the files based on relevance scores greatly enhances system usability by making it possible relevance ranking instead of sending unwanted results and further ensures the file retrieval accuracy. In this study, we are developing an automated system for both named and un-named documents based on the clustering algorithms. We implement the ranking and searching algorithm to retrieve top k files. We also provides the mapping and encryption algorithm to protect the information. The resulting design is able to provide efficient ranking which will reduce the search time drastically and reduce the communication overhead. The mapping and encryption algorithms protect document against an outside attackers and prevent an untrusted cloud data provider from learning data.