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Volume & Issue no: Volume 3, Issue 8, August 2014


Homomorphic Encryption for Multi-keyword based Search and Retrieval over Encrypted Data
Author Name:
Jiss Varghese, Lisha Varghese
ABSTRACT With growing communication networks and digital communication, data outsourcing has turn out to be an advanced data service for users to store sensitive data into a global storage space. Data owners can upload their private data into these space, and do many operations on them. Performing information retrieval tasks while preserving data confidentiality is a big challenge when data is stored in global space maintained by a third-party service provider. To avoid confidentiality problem, the sensitive data have to be encrypted before uploading into global space. This leads to a problem to perform efficient keyword based search and retrieval over these encrypted data. Ranking based on order preserving encryption (OPE) has statistic information leakage problem. In order to avoid this, a Two Step Searchable Encryption (TSSE) scheme has been proposed which supports multikeyword based top-k data retrieval. It enables us to get the retrieval result as the most relevant files that match users’ interest. It indicates that files are ranked in the order of relevance and only the files with high relevance are sent back to users. In TSSE, the concept of homomorphic encryption, relevance scoring, vector space model and key management are introduced. Since the search operation is performed over encrypted data, information leakage can be eliminated and data can be searched and retrieved efficiently. Keywords: Homomorphic Encryption, Relevance Scoring, Vector Space Model, Data Retrieval
Cite this article:
Jiss Varghese, Lisha Varghese , " Homomorphic Encryption for Multi-keyword based Search and Retrieval over Encrypted Data " , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 3, Issue 8, August 2014 , pp. 138-146 , ISSN 2319 - 4847.
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