Design of an Industrial Wireless Sensor Network Security Defense Scheme Based on the Uniqueness of Clock Slope

This paper proposes a security defense scheme for industrial wireless sensor networks that utilizes the uniqueness and stability of clock slope characteristics to address the security defense challenges faced by industrial wireless sensor networks (IWSNs) under the constraints of low power consumption and low cost. By combining key elements of time synchronization technology, this scheme fully leverages the physical characteristics of the clock slope without the need to introduce additional protocols or algorithm designs, ensuring compatibility with existing time synchronization technology and providing an effective method for node identity recognition in large-scale IWSN environments.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10869054
Primary Topic
Wireless Sensor Networks and IoT
Type
article
Field-Weighted Citation Impact
0.00
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article

Design of an Industrial Wireless Sensor Network Security Defense Scheme Based on the Uniqueness of Clock Slope

Lei Dong, Shuai Shao, Shijie Cui, Zhongfeng Wang
Wireless Sensor Networks and IoT
article

Design of an Industrial Wireless Sensor Network Security Defense Scheme Based on the Uniqueness of Clock Slope

Lei Dong, Shuai Shao, Shijie Cui, Zhongfeng Wang
article en

Abstract

This paper proposes a security defense scheme for industrial wireless sensor networks that utilizes the uniqueness and stability of clock slope characteristics to address the security defense challenges faced by industrial wireless sensor networks (IWSNs) under the constraints of low power consumption and low cost. By combining key elements of time synchronization technology, this scheme fully leverages the physical characteristics of the clock slope without the need to introduce additional protocols or algorithm designs, ensuring compatibility with existing time synchronization technology and providing an effective method for node identity recognition in large-scale IWSN environments.

Shenyang Institute of Automation (CN), Chinese Academy of Sciences (CN), Southeast University (CN)
Sustainable cities and communities
Openalex Percentile: Top 67%
Wireless Sensor Networks and IoT
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