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Sensors 2018, 18(9), 3047;

New Multi-Keyword Ciphertext Search Method for Sensor Network Cloud Platforms

School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China
School of Computer and Communication Science, Swiss Federal Institute of Technology in Lausanne, CH-1015 Lausanne, Switzerland
Author to whom correspondence should be addressed.
Received: 14 August 2018 / Revised: 10 September 2018 / Accepted: 10 September 2018 / Published: 12 September 2018
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This paper proposed a multi-keyword ciphertext search, based on an improved-quality hierarchical clustering (MCS-IQHC) method. MCS-IQHC is a novel technique, which is tailored to work with encrypted data. It has improved search accuracy and can self-adapt when performing multi-keyword ciphertext searches on privacy-protected sensor network cloud platforms. Document vectors are first generated by combining the term frequency-inverse document frequency (TF-IDF) weight factor and the vector space model (VSM). The improved quality hierarchical clustering (IQHC) algorithm then generates document vectors, document indices, and cluster indices, which are encrypted via the k-nearest neighbor algorithm (KNN). MCS-IQHC then returns the top-k search result. A series of experiments proved that the proposed method had better searching efficiency and accuracy in high-privacy sensor cloud network environments, compared to other state-of-the-art methods. View Full-Text
Keywords: sensor network; cloud; multi-keyword; ciphertext search; KNN; the top-k result; privacy protection sensor network; cloud; multi-keyword; ciphertext search; KNN; the top-k result; privacy protection

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Xie, L.; Wang, Z.; Wang, Y.; Yang, H.; Zhang, J. New Multi-Keyword Ciphertext Search Method for Sensor Network Cloud Platforms. Sensors 2018, 18, 3047.

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