Evidence map›Paper›PMID 31284592›Full record

ArticleSensors (Basel, Switzerland)2019

A Cancelable Iris- and Steganography-Based User Authentication System for the Internet of Things.

Wencheng Yang, Song Wang, Jiankun Hu, Ahmed Ibrahim, Guanglou Zheng, Marcelo Jose Macedo, Michael N Johnstone, Craig Valli

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Wearable Sensors and Systems in the IoT.Sensors (Basel, Switzerland) · 2021
    Article
  5. Biometrics for Internet-of-Things Security: A Review.Sensors (Basel, Switzerland) · 2021
    Review
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

8 authors.

Wencheng YangSecurity Research Institute, Edith Cowan University, Perth, WA 6207, Australia. w.yang@ecu.edu.au.ORCID 0000-0001-7800-2215
Song WangDepartment of Engineering, La Trobe University, Melbourne, VIC 3083, Australia.
Jiankun HuSchool of Engineering and Information Technology, University of New South Wales, Canberra, ACT 2600, Australia.
Ahmed IbrahimSecurity Research Institute, Edith Cowan University, Perth, WA 6207, Australia.ORCID 0000-0002-4760-3533
Guanglou ZhengSecurity Research Institute, Edith Cowan University, Perth, WA 6207, Australia.ORCID 0000-0002-2307-9562
Marcelo Jose MacedoSecurity Research Institute, Edith Cowan University, Perth, WA 6207, Australia.
Michael N JohnstoneSecurity Research Institute, Edith Cowan University, Perth, WA 6207, Australia.
Craig ValliSecurity Research Institute, Edith Cowan University, Perth, WA 6207, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Remote user authentication for Internet of Things (IoT) devices is critical to IoT security, as it helps prevent unauthorized access to IoT networks. Biometrics is an appealing authentication technique due to its advantages over traditional password-based authentication. However, the protection of biometric data itself is also important, as original biometric data cannot be replaced or reissued if compromised. In this paper, we propose a cancelable iris- and steganography-based user authentication system to provide user authentication and secure the original iris data. Most of the existing cancelable iris biometric systems need a user-specific key to guide feature transformation, e.g., permutation or random projection, which is also known as key-dependent transformation. One issue associated with key-dependent transformations is that if the user-specific key is compromised, some useful information can be leaked and exploited by adversaries to restore the original iris feature data. To mitigate this risk, the proposed scheme enhances system security by integrating an effective information-hiding technique-steganography. By concealing the user-specific key, the threat of key exposure-related attacks, e.g., attacks via record multiplicity, can be defused, thus heightening the overall system security and complementing the protection offered by cancelable biometric techniques.

Indexed as

cancelablefeature data protectionirissteganography

Identifiers

PMID31284592
PMCPMC6651016

What OpenQuestion holds

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LicenceCC BY
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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.