Evidence map›Paper›PMID 34577370›Full record

ReviewSensors (Basel, Switzerland)2021

Biometrics for Internet-of-Things Security: A Review.

Wencheng Yang, Song Wang, Nor Masri Sahri, Nickson M Karie, Mohiuddin Ahmed, Craig Valli

Abstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Employing Eye Trackers to Reduce Nuisance Alarms.Sensors (Basel, Switzerland) · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Wencheng YangCyber Security Cooperative Research Centre, Security Research Institute, School of Science, Edith Cowan University, Joondalup, WA 6027, Australia.ORCID 0000-0001-7800-2215
Song WangSchool of Engineering and Mathematical Sciences, La Trobe University, Melbourne, VIC 3086, Australia.
Nor Masri SahriCyber Security Cooperative Research Centre, Security Research Institute, School of Science, Edith Cowan University, Joondalup, WA 6027, Australia.ORCID 0000-0003-2030-8881
Nickson M KarieCyber Security Cooperative Research Centre, Security Research Institute, School of Science, Edith Cowan University, Joondalup, WA 6027, Australia.
Mohiuddin AhmedCyber Security Cooperative Research Centre, Security Research Institute, School of Science, Edith Cowan University, Joondalup, WA 6027, Australia.ORCID 0000-0002-4559-4768
Craig ValliCyber Security Cooperative Research Centre, Security Research Institute, School of Science, Edith Cowan University, Joondalup, WA 6027, Australia.

Funding

Cyber Security Research Centre Limited None
6 · The paper itself

Abstract

The large number of Internet-of-Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric-based authentication systems for IoT are discussed and classified based on different biometric traits and the number of biometric traits employed in the system. As for encryption, biometric-cryptographic systems, which integrate biometrics with cryptography and take advantage of both to provide enhanced security for IoT, are thoroughly reviewed and discussed. Moreover, challenges arising from applying biometrics to IoT and potential solutions are identified and analyzed. With an insight into the state-of-the-art research in biometrics for IoT security, this review paper helps advance the study in the field and assists researchers in gaining a good understanding of forward-looking issues and future research directions.

Indexed as

Biometric IdentificationInternet of ThingsBiometryComputer Securityaccess controlauthenticationbiometricsencryptionIoTsecurity

Identifiers

PMID34577370
PMCPMC8472874

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.