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A Secure Multi-Keyword Ranked Search by Using Conditional Random Field and Blind Storage over Encrypted Mobile Cloud Data
Megha Baraskar,
Published in International Journal of Scientific & Engineering Research
Volume: 4.0
Issue: 8.0
Pages: 15.0 - 19.0
Due to the ability of providing access the data anywhere and anytime all over the globe the cloud computing is becomingtrend 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 techniqueswith searchable encryption is used. For keyword extraction system propose a new CRF method. Utilization of Cosine similarity algorithmas replacement for Euclidean distance algorithm is done. Cosine Similarity algorithm is used for calculating the similarity betweendocuments and Conditional Random Field (CRF) for finding the important keywords. The indexes of the blocks are kept which arecreated by dividing the files in various parts by blind storage. These indexes are not visible to cloud provider by which the cloud provideris totally unaware of data. By analysis we shows that the derived results are improved as well as those are meaningful of keywordminimizing the traffic in overall network and hence server provides more specific application productivity.
About the journal
JournalInternational Journal of Scientific Engineering and Research (IJSER), ISSN (Online): 2347-3878
PublisherInternational Journal of Scientific & Engineering Research
Open Access0