Secure Ranked Multi-keyword Search for Multiple Data Owners in Cloud Computing

• Published in: 2014 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks pp. 276 - 286
• Main Authors: Wei Zhang, Sheng Xiao, Yaping Lin, Ting Zhou, Siwang Zhou
• Format: Conference Proceeding
• Language: English
• Published: IEEE 18.09.2014
• Subjects: Cloud computing; Data privacy; Encryption; Keyword search; multiple data owners; Privacy; privacy and additive order preserving; secure ranked keyword search; Servers
• ISSN: 1530-0889; 2158-3927
• DOI: 10.1109/DSN.2014.36

With the advent of cloud computing, it becomes increasingly popular for data owners to outsource their data to public cloud servers while allowing data users to retrieve these data. For privacy concerns, secure searches over encrypted cloud data motivated several researches under the single owner model. However, most cloud servers in practice do not just serve one owner, instead, they support multiple owners to share the benefits brought by cloud servers. In this paper, we propose schemes to deal with secure ranked multi-keyword search in a multi-owner model. To enable cloud servers to perform secure search without knowing the actual data of both keywords and trapdoors, we systematically construct a novel secure search protocol. To rank the search results and preserve the privacy of relevance scores between keywords and files, we propose a novel Additive Order and Privacy Preserving Function family. Extensive experiments on real-world datasets confirm the efficacy and efficiency of our proposed schemes.