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Abstract

In portable distributed computing, a major application is to outsource the versatile information to outside cloud servers for
adaptable information stockpiling. To test this issue, in this paper, We build up the Searchable encryption for multi-watchword
positioned look over the capacity information. In particular, by considering the extensive number of outsourced the reports in the
cloud, we use the significance score and k closest neighbor in methods to build up an effective multi-catchphrase look conspire
that can give back the positioned indexed lists in view of the exactness. Security analysis demonstrates that our scheme can
achieve confidentiality of documents and index, trapdoor privacy, access unlinkability, and obscuring access pattern of the search
user. Finally, using extensive simulations. We leverage an efficient index to further improve the Search efficiency, and adopt the
blind storage system to conceal access pattern of the search user

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How to Cite
V. Thilagavathi*, V.R. Kavitha. (2016). Privacy Preserving Similarity Based Text Retrival through Blind Storage in Cloud. International Journal of Emerging Trends in Science and Technology, 3(03), 3621-3626. Retrieved from https://igmpublication.org/ijetst.in/index.php/ijetst/article/view/1024