Secure and Efficient Industrial Wireless Sensor Networks Protocol Based on Cancelable Biometrics

This article discusses the application of wireless sensor networks (WSNs) in industrial settings, particularly in the context of the Internet of Things. The advantages of WSNs, such as convenience, low energy consumption, and real-time monitoring, make them highly suitable for industrial applications. However, these networks face several challenges, including signal interference, security concerns, privacy issues, and battery life. This article explores these challenges and proposes potential solutions. Current industrial wireless sensor protocols often prioritize lightweight or real-time aspects, potentially neglecting security considerations. This article proposes a strategy for protecting user biometrics during authentication using cancelable biometrics. The approach utilizes sliding window hashing, fuzzy extractors, and physical unclonable functions to generate a cancelable biometric template. The proposed industrial wireless sensor protocols will be used in this strategy. This protocol aims to safeguard users' biometric information in the event of a data breach while detecting and preventing potential attacks on the sensors.

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Publication Details

Journal
IEEE Transactions on Industrial Informatics
Published
2024-09-06
DOI
https://doi.org/10.1109/tii.2024.3423309
Citations
4
Primary Topic
Biometric Identification and Security
Type
article
Field-Weighted Citation Impact
1.40

Funders

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article

Secure and Efficient Industrial Wireless Sensor Networks Protocol Based on Cancelable Biometrics

Dong Xie, Deqin Xu, Zilong Xu, Weixin Bian et al.
4 citations
IEEE Transactions on Industrial Informatics
Biometric Identification and Security
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article

Secure and Efficient Industrial Wireless Sensor Networks Protocol Based on Cancelable Biometrics

Dong Xie, Deqin Xu, Zilong Xu, Weixin Bian, Yao Hu
article en
4 citations

Abstract

This article discusses the application of wireless sensor networks (WSNs) in industrial settings, particularly in the context of the Internet of Things. The advantages of WSNs, such as convenience, low energy consumption, and real-time monitoring, make them highly suitable for industrial applications. However, these networks face several challenges, including signal interference, security concerns, privacy issues, and battery life. This article explores these challenges and proposes potential solutions. Current industrial wireless sensor protocols often prioritize lightweight or real-time aspects, potentially neglecting security considerations. This article proposes a strategy for protecting user biometrics during authentication using cancelable biometrics. The approach utilizes sliding window hashing, fuzzy extractors, and physical unclonable functions to generate a cancelable biometric template. The proposed industrial wireless sensor protocols will be used in this strategy. This protocol aims to safeguard users' biometric information in the event of a data breach while detecting and preventing potential attacks on the sensors.

IEEE Transactions on Industrial InformaticsVol. 20(12)
Anhui Normal University (CN)
National Natural Science Foundation of China
Affordable and clean energy
Openalex Percentile: Top 18%
Biometric Identification and Security
1.40
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