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Sensors 2018, 18(9), 3047; https://doi.org/10.3390/s18093047

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

1
School of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China
2
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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Abstract

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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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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