Rajpreet kaur

Work place: CGC, Landran (Mohali), Punjab, India

E-mail: Preet.billing00@gmail.com

Website:

Research Interests: Autonomic Computing, Computing Platform, Mathematics of Computing

Biography

Rajpreet Kaur is a student of masters in Computer science and engineering in Chandigarh group of colleges, College of Engineering, Landran (Mohali), Punjab. She has completed her Bachelor degree in computer science & engineering from Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib. Area of her research is searching in Cloud Computing. She has attended a national conference on recent trends in cloud computing (RTICC) in Chandigarh Group of Colleges, College of Engineering, Landran (Mohali).

Author Articles
Enhanced Ranking Based Cloud Searching with Improved Metadata Storage: A Case Study for Relevancy of Files

By Rajpreet kaur Manish Mahajan

DOI: https://doi.org/10.5815/ijmecs.2016.01.06, Pub. Date: 8 Jan. 2016

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.

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