Efficient Multikeyword Ranked Search with Provision of Synonym Query over Encrypted Cloud
Author(s):
Rucha Anil Shinde, Hema V. Kumbhar
Keywords:
Cloud computing; multi-keyword search; semantic based search; TFIDF; anaphora resolution; WordNet Ontology.
Abstract
The Now a days, cloud computing becomes efficient and flexible with reduced cost and utility of on-demand high quality applications and services, so internet usage strongly relies on cloud for privacy preserving and fast data retrieval. For consumers, they want to find the most relevant products or data, which is highly desirable in the “pay-as-you use” cloud computing paradigm. Sensitive data (such as photos, mails, health records, financial records, etc) is encrypted before outsourced to cloud. Although Searchable encryption scheme has been developed to conduct retrieval over encrypted data, these schemes only support exact or fuzzy keyword search, mainly evaluate the similarity of keywords from the structure but the semantic relatedness is not considered. This work focuses on realizing secure semantic search through query keyword semantic extension based on the co-occurrence probability of terms, the semantic relationship library is constructed to record the semantic similarity between keywords. To achieve efficiency of the search method we enhance the TFIDF algorithm by extending the keyword set with semantic words or natural language words for the keywords. This will ultimately support data retrieval on querying semantic query. Even when user doesn't know exact or synonym of keywords of encrypted data, he can try searching it by its meaning in natural language. WordNet method makes the search scheme even more reliable and better.
Article Details
Unique Paper ID: 143230

Publication Volume & Issue: Volume 2, Issue 7

Page(s): 808 - 810
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Last Date 25 August 2020

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