A Secure Multi-Keyword Ranked Search by Using Conditional Random Field and Blind Storage over Encrypted Mobile Cloud Data

Due to the ability of providing access the data anywhere and anytime all over the globe the cloud computing is becoming trend in IT industry. As an accomplishment in flexibility of data the problem gets with safety as in term of data security and privacy. Cloud is being straightforward still considered as interested in the client data. To solve above problems in cloud, blind storage techniques with searchable encryption is used. For keyword extraction system propose a new CRF method. Utilization of Cosine similarity algorithm as replacement for Euclidean distance algorithm is done. Cosine Similarity algorithm is used for calculating the similarity between documents and Conditional Random Field (CRF) for finding the important keywords. The indexes of the blocks are kept which are created by dividing the files in various parts by blind storage. These indexes are not visible to cloud provider by which the cloud provider is totally unaware of data. By analysis we shows that the derived results are improved as well as those are meaningful of keyword minimizing the traffic in overall network and hence server provides more specific application productivity.