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Issue title: Special Section: Fuzzy theoretical model analysis for signal processing
Guest editors: Valentina E. Balas, Jer Lang Hong, Jason Gu and Tsung-Chih Lin
Article type: Research Article
Affiliations: Ningbo Dahongying University, Ningbo, Zhejiang, China
Correspondence: [*] Corresponding author. Yan Li, Ningbo Dahongying University, Ningbo 315015, Zhejiang, China. E-mail: [email protected].
Abstract: As the main tool to monitor remote networking environment, sensor network integrates various functions of data collection, data collection, data processing and information transmission information data encryption in one, which has been gradually applied in all areas of society. However, sensor networks may suffer attacks during the process of data acquisition and transmission. Therefore, data privacy protection becomes the most important problem in wireless sensor networks. In this paper, privacy protection, high precision and data fusion were studied, and a privacy preserving algorithm based on CRAE was proposed on the existing encryption algorithms. The algorithm can not only reduce the energy consumption of sensor networks, but also have good privacy. Simulation experiments were carried out to compare the proposed algorithm with the existing encryption algorithms and achieve the desired design goal.
Keywords: Privacy protection, sensor networks, data fusion, energy consumption
DOI: 10.3233/JIFS-179297
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 4, pp. 4633-4638, 2019
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