Tae-Yeon Kim, Ki-Hwan Cho, Young-Lok Lee

KIPS Transactions on Computer and Communication Systems, Vol. 6, No. 10, pp. 429-436, Oct. 2017
10.3745/KTCCS.2017.6.10.429,   PDF Download:
Keywords: Cloud, Data Privacy, Outsource, Keyword, Multiple Owner
Abstract

There is a growing tendency to outsource sensitive or important data in cloud computing recently. However, it is very important to protect the privacy of outsourced data. So far, a variety of secure and efficient multi-keyword search schemes have been proposed in cloud computing environment composed of a single data owner and multiple data users. Zhang et. al recently proposed a search protocol based on multi-keyword in cloud computing composed of multiple data owners and data users but their protocol has two problems. One is that the cloud server can illegally infer the relevance between data files by going through the keyword index and user's trapdoor, and the other is that the response for the user's request is delayed because the cloud server has to execute complicated operations as many times as the size of the keyword index. In this paper, we propose an improved multi-keyword based search protocol which protects the privacy of outsourced data under the assumption that the cloud server is completely unreliable. And our experiments show that the proposed protocol is more secure in terms of relevance inference between the data files and has higher efficiency in terms of processing time than Zhang's one.

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