Table of Contents Author Guidelines Submit a Manuscript
Journal of Electrical and Computer Engineering
Volume 2017 (2017), Article ID 3956027, 9 pages
Research Article

Multiorder Fusion Data Privacy-Preserving Scheme for Wireless Sensor Networks

1College of Information Science & Technology, Hainan University, Haikou 570228, China
2State Key Laboratory of Marine Resource Utilization in South China Sea, Haikou 570228, China
3College of Network, Haikou College of Economics, Haikou 571127, China

Correspondence should be addressed to Yong Bai; nc.ude.uniah@iab

Received 30 March 2017; Revised 29 July 2017; Accepted 7 September 2017; Published 16 October 2017

Academic Editor: Xiong Li

Copyright © 2017 Mingshan Xie et al. 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.


Privacy-preserving in wireless sensor networks is one of the key problems to be solved in practical applications. It is of great significance to solve the problem of data privacy protection for large-scale applications of wireless sensor networks. The characteristics of wireless sensor networks make data privacy protection technology face serious challenges. At present, the technology of data privacy protection in wireless sensor networks has become a hot research topic, mainly for data aggregation, data query, and access control of data privacy protection. In this paper, multiorder fusion data privacy-preserving scheme (MOFDAP) is proposed. Random interference code, random decomposition of function library, and cryptographic vector are introduced for our proposed scheme. In multiple stages and multiple aspects, the difficulty of cracking and crack costs are increased. The simulation results demonstrate that, compared with the typical Slice-Mix-AggRegaTe (SMART) algorithm, the algorithm proposed in this paper has a better data privacy-preserving ability when the traffic load is not very heavy.