Title: Research on wireless sensor privacy data measurement and classification model based on IoT technology

Authors: Jianye Wang; Chunsheng Zhuang; Xin Liu; Shunli Wu; Ding Wang; Haoping An

Addresses: Institute of Applied Physics, Henan Academy of Sciences, Zhengzhou 450008, China; Henan Key Laboratory of Sensing Technology and System for Internet of Things, Zhengzhou 450008, China ' Institute of Applied Physics, Henan Academy of Sciences, Zhengzhou 450008, China; Henan Key Laboratory of Sensing Technology and System for Internet of Things, Zhengzhou 450008, China ' Institute of Applied Physics, Henan Academy of Sciences, Zhengzhou 450008, China ' Henan Automation Engineering and Technology Research Centre, Zhengzhou 450008, China ' Institute of Applied Physics, Henan Henan Academy of Sciences, Henan Zhengzhou 450008, China ' Henan Automation Engineering and Technology Research Centre, Zhengzhou 450008, China

Abstract: Traditional wireless sensor privacy data measurement and classification process has the problems of low accuracy and very time-consuming. A new wireless sensor privacy data measurement and classification model is proposed. The measurement module of the model establishes two levels of privacy measurement elements from three dimensions, calculates the weight of level privacy elements by using Shannon information entropy, and obtains the privacy quantity of each data privacy measurement element in the data set. With the help of internet of things technology, the privacy data measurement and classification model of wireless sensor is designed. The experimental results show that the misjudgement rate of this model is very low, less than 5%, and the misjudgement error is kept below 10%. Using this model to protect the wireless sensor privacy data, the data running cost and time cost show a low level, has a certain application value.

Keywords: wireless sensor; privacy data; privacy elements; data measurement; data classification.

DOI: 10.1504/IJICT.2023.128714

International Journal of Information and Communication Technology, 2023 Vol.22 No.2, pp.185 - 198

Received: 06 Nov 2020
Accepted: 05 Feb 2021
Published online: 02 Feb 2023 *

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