A Theoretical Analysis for relevancy of files in Enhanced Ranking Based Cloud Search with Improved Metadata Storage
Journal Title: International Journal of Computational Engineering and Management IJCEM - Year 2015, Vol 18, Issue 5
Abstract
With the outgrowth of cloud computing, a large amount of private information is stored over cloud servers, which is in encrypted format. But searching over encrypted data is very difficult. Earlier search schemes were based on Boolean search through keywords. But don’t consider relevance of files. After that ranked search comes into its role, which uses searchable symmetric encryption (SSE). To achieve more practical and efficient design method was further modified to “Order preserving symmetric encryption” (OPSE), which uses primitives and indexed metadata files used in ranked SSE. In this proposed work further enhancements are done to reduce storage space for encrypted metadata using Porter Stemming method. Improvements in retrieval time are also done by using Boyer Moore’s searching algorithm.
Authors and Affiliations
Rajpreet Kaur and Manish Mahajan
Keywords
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