Implementation and evaluation of central keyword based semantic extension search scheme over encrypted outsourced data

Implementation and evaluation of central keyword based semantic extension search scheme over encrypted outsourced data
Author(s):
Dipti D. Mehare, A.V. Deorankar
Keywords:

Abstract
In this paper, we design a central keyword semantic search based semantic extension scheme to improve the result delivery. Keywords may have a certain grammatical relationship among them which react the importance of keywords from the user’s perspective intuitively. However, the existing search techniques regard the search keywords as independent and unrelated. For the first time, we take the relation among query keywords into consideration and design a keyword weighting algorithm to show the importance of the distinction among them. By introducing the keyword weight to the search protocol design, the search results will be more in line with the users demand. On top of this, we further design a novel central keyword semantic extension ranked scheme. By extending the central query keyword instead of all keywords, our scheme makes a good tradeoff between the search functionality and efficiency. To better express the relevance between queries and files, we further introduce the TF-IDF rule when building trapdoors and the index. Experiments on the real-world dataset show that our proposed schemes are efficient, effective and secure
Article Details
Unique Paper ID: 146509 Publication Volume & Issue: Volume 4, Issue 12 Page(s): 981 - 984
Article Preview & Download

Share This Article

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org