期刊
IEEE INTERNET OF THINGS JOURNAL
卷 6, 期 2, 页码 1998-2008出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2018.2871607
关键词
Artificial intelligence; cloud; encrypted data; Internet of Things (IoT); phrase search
资金
- National Key Research and Development Program of China [2018YFB0803405]
- National Natural Science Foundation of China [61602039, 61472212, 61872041]
- EU Marie Curie Actions CROWN [FP7-PEOPLE-2013-IRSES-610524]
- CCF-Tencent Open Fund WeBank Special Funding
Phrase search allows retrieval of documents containing an exact phrase, which plays an important role in many machine learning applications for cloud-based Internet of Things (IoT), such as intelligent medical data analytics. In order to protect sensitive information from being leaked by service providers, documents (e.g., clinic records) are usually encrypted by data owners before being outsourced to the cloud. This, however, makes the search operation an extremely challenging task. Existing searchable encryption schemes for multikeyword search operations fail to perform phrase search, as they are unable to determine the location relationship of multiple keywords in a queried phrase over encrypted data on the cloud server side. In this paper, we propose P3, an efficient privacy-preserving phrase search scheme for intelligent encrypted data processing in cloud-based IoT. Our scheme exploits the homomorphic encryption and bilinear map to determine the location relationship of multiple queried keywords over encrypted data. It also utilizes a probabilistic trapdoor generation algorithm to protect users' search patterns. Thorough security analysis demonstrates the security guarantees achieved by P3. We implement a prototype and conduct extensive experiments on real-world datasets. The evaluation results show that compared with existing multikeyword search schemes, P3 can greatly improve the search accuracy with moderate overheads.
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