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Cited by 47Biometric Identification and SecurityUser Authentication and Security SystemsAdvanced Authentication Protocols Security

A Privacy-Preserving Lightweight Biometric System for Internet of Things Security

Yang, Wencheng, Wang, Song, Zheng, Guanglou, Yang, Jucheng, Valli, Craig·2019·IEEE Communications Magazine
DOI 10.1109/mcom.2019.1800378
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Abstract

Constant expansion of Internet of Things (IoT) devices creates considerable convenience for peoples' daily lives; however, it also brings about some challenges. Advanced modern techniques equip IoT devices with additional sensory and communication modules, enabling them to perform more functions than just sensing, but it also means that these devices may consume more energy. Many IoT devices are powered by batteries of limited life and composed of electronic parts of limited capacity. Therefore, energy efficiency is an essential requirement for any IoT device with limited resources in terms of storage space, power, and computing capability. Moreover, possible attack vectors and attack sources for vulnerabilities in the IoT environment present another great challenge for secure user authentication. To address the above issues, in this article we propose a privacy- preserving lightweight biometric system, specifically designed for resource-limited IoT devices to save memory and computational cost. The proposed system employs a block logic operation based algorithm to reduce the biometric feature size in a simple and efficient way. Experimental results demonstrate that with a much reduced feature size, the proposed lightweight biometric system still maintains high recognition accuracy. It is worth noting that any sizable reduction in memory and computing cost is beneficial for resource-constrained IoT devices.

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Crossref · 10.1109/mcom.2019.1800378

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  • A lightweight solution using block-based logic transformation reduces feature size and preserves the original feature, making it appealing to resource-limited AIoT devices and resistant to potential attacks.

    “Recently, a lightweight solution is proposed in [241] by block-based logic transformation, which not only reduces feature size but also preserves the original feature, therefore appealing to resource-limited AIoT devices and resistant to potential attacks.”

    From Empowering things with intelligence: a survey of the progress, challenges, and opportunities in artificial intelligence of things (2021) · cites this paper as [241]

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Authors
Yang, W., Wang, S., Zheng, G., Yang, J., & Valli, C.
Affiliations
  • Edith Cowan University (AU)
  • La Trobe University (AU)
  • Tianjin University of Science and Technology (CN)
ORCID
Venue
IEEE Communications Magazine
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2019-03
Volume
57
Issue
3
Pages
84-89
ISSN
  • 0163-6804 (ISSN-L)
  • 1558-1896
DOI
10.1109/mcom.2019.1800378
OpenAlex
W2921838567
Cited by
47
References
11
Citations by year
2026: 2 · 2025: 5 · 2024: 8 · 2023: 6 · 2022: 10 · 2021: 4 · 2020: 6 · 2019: 6
FWCI
4.09
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • IEEE Communications Magazine (publishedVersion)
  • Edith Cowan University Research Online (Edith Cowan University) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
  • Physical Sciences › Computer Science › Information Systems › User Authentication and Security Systems
  • Physical Sciences › Computer Science › Computer Networks and Communications › Advanced Authentication Protocols Security
Keywords
biometric authentication, Internet of Things security, privacy preservation, resource-constrained devices, energy efficiency, feature size reduction, user authentication, memory and computational cost reduction

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