An Efficient Multi-Keyword Semantic Based Search for Encrypted Cloud Data

  Dipika Chavan,  Dinesh Yadav

Today, cloud computing technologies becomes more efficient and flexible with reduced cost and utilities of on-demand high quality applications and services, so internet usage strongly relies on cloud for privacy preserving and fast data retrieval. For customers, they would like to search the most relevant or related products or data, which is highly desirable in the “pay-per-use” cloud computing model. Sensitive data (such as photo albums, emails, tax information, financial records, etc.) is encrypted before outsourced to cloud. Though Searchable encryption scheme has been developed to retrieve the encrypted data, these schemes only support exact or fuzzy keyword search. Existing fuzzy search methods mainly estimate the similarity of keywords from the structure but the semantic relatedness is not considered. In secure semantic search through query keyword, semantic extension based on the co-occurrence probability of terms, the TFIDF scheme from information retrieval is used to calculate the similarity score of keywords between the documents and the user queries. To enhance the efficiency of the search method the extended keyword set is used with semantic words or natural language words for the keywords. This will eventually support data retrieval on querying semantic query. Even when user is unaware of exact or synonym of keywords of encrypted data, he can try searching it by its meaning in natural language.

Keywords- Cloud computing, Multi-keyword search, Semantic based search, TFIDF.

Unique Identification Number - IJEDR1503087
Page Number(s) - 1-6
Pubished in - Volume 3 | Issue 3 | 28 August 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Dipika Chavan,  Dinesh Yadav,   "An Efficient Multi-Keyword Semantic Based Search for Encrypted Cloud Data", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 3, pp.1-6, 28 August 2015, Available at :http://www.ijedr.org/papers/IJEDR1503087.pdf