Title: Secure search service based on word2vec in the public cloud

Authors: Yangen Liu; Zhangjie Fu

Addresses: School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China ' School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China

Abstract: For the retrieval of data in the cloud, existing studies mostly generate vectors based on dictionaries, but these vectors do not respond well to the semantic information of articles. In this paper, we propose two safety retrieval schemes based on word2vec (SSSW-1 and SSSW-2). By establish a model through word2vec training method, we will generate index vectors directly for keywords. And the index vector can also reflect the semantic relationship of the document so as to improve the accuracy of the retrieval. Cosine measure will be used to calculate the similarity scores. Experiments based on real data show that the two schemes are effective and feasible.

Keywords: encrypted cloud data; word2vec; secure search; cloud computing.

DOI: 10.1504/IJCSE.2019.098547

International Journal of Computational Science and Engineering, 2019 Vol.18 No.3, pp.305 - 313

Received: 19 Aug 2017
Accepted: 24 Jan 2018
Published online: 26 Mar 2019 *

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