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Special Issue "Smartphone-Based Sensors for Biometric Authentication"

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Physical Sensors".

Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 1407

Special Issue Editor

Dr. Raul Sanchez-Reillo
E-Mail Website
Guest Editor
Electronics Technology Department, Universidad Carlos III de Madrid, Madrid, Spain
Interests: Biometrics; Smartcards; Security; HCI; Sensors

Special Issue Information

Dear Colleagues,

Mobile devices are becoming increasingly sophisticated and now incorporate many diverse and powerful sensors. The latest generation of smart phones is especially laden with sensors, including GPS sensors, vision sensors (cameras), audio sensors (microphones), light sensors, temperature sensors, direction sensors (compasses), and acceleration sensors. “Smart” mobile devices have substantial computing power, ability to send and receive data, and nearly ubiquitous use in our daily life.

Biometric authentications (such as fingerprint scanning, retina scanning, or face detection) provide improved reliability and usability because, unlike conventional methods, they do not require passwords that need to be remembered. Biometric techniques are categorized as either physiological (e.g., fingerprint scanning, retina scanning, etc.) or behavioral, such as voice.

The growth of biometrics on mobile devices, however, raises a number of issues which require research-based solutions.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • novel authentication algorithms and modalities
  • data security and policy
  • usability and accessibility
  • performance assessment
  • mobile biometric deployment
  • biometric systems performance
  • new sensors for biometric data acquisition

Dr. Raul Sanchez-Reillo
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • biometric authentication
  • smartphone
  • sensors

Published Papers (1 paper)

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Research

Article
AirSign: Smartphone Authentication by Signing in the Air
Sensors 2021, 21(1), 104; https://doi.org/10.3390/s21010104 - 26 Dec 2020
Cited by 2 | Viewed by 1162
Abstract
In this paper, we propose AirSign, a novel user authentication technology to provide users with more convenient, intuitive, and secure ways of interacting with smartphones in daily settings. AirSign leverages both acoustic and motion sensors for user authentication by signing signatures in the [...] Read more.
In this paper, we propose AirSign, a novel user authentication technology to provide users with more convenient, intuitive, and secure ways of interacting with smartphones in daily settings. AirSign leverages both acoustic and motion sensors for user authentication by signing signatures in the air through smartphones without requiring any special hardware. This technology actively transmits inaudible acoustic signals from the earpiece speaker, receives echoes back through both built-in microphones to “illuminate” signature and hand geometry, and authenticates users according to the unique features extracted from echoes and motion sensors. To evaluate our system, we collected registered, genuine, and forged signatures from 30 participants, and by applying AirSign on the above dataset, we were able to successfully distinguish between genuine and forged signatures with a 97.1% F-score while requesting only seven signatures during the registration phase. Full article
(This article belongs to the Special Issue Smartphone-Based Sensors for Biometric Authentication)
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