More Web Proxy on the site http://driver.im/

research-article

Audio-Visual Biometric Authentication for Secured Access into Personal Devices

Authors:

M. AlsiddigAuthors Info & Claims

ICBBS '17: Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science

Pages 85 - 89

https://doi.org/10.1145/3121138.3121165

Published: 22 June 2017 Publication History

Abstract

The security of data is becoming a challenge, as newer smarter devices with increasingly more memory are appearing in the market. Currently, most of the user data remains on personal devices, when the user is either mobile or at workplace. The username and password are turning out to be old-fashioned techniques for secured access. In this work, a multimodal biometric authentication technique is propose to boost access security of such devices. Face recognition, speaker identification along with uttered word are fused together to determine authentication score before access to devices is granted. Experimental results show that as the number of biometric modes is increased, greater trust and satisfaction is experienced by the user.

References

[1]

Gupta, M., Pradeep, K. K. B., and Rao, H. R. 2012. Who is guarding the doors: review of authentication in E-banking. Book chapter in Digital Identity and Access Management: Technologies and Frameworks, Editor: Raj Sharman, IGI Global, 2012.

[2]

Baykara, M. and Das, R. 2013. Real Time Face Recognition and Tracking System. International Conference on Electronics, Computer and Computation. pp. 159--163, Ankara, 7-9 Nov. 2013.

[3]

Memon, Q., Akhtar, S., and Aly, A. 2007. Role Management in Adhoc Networks. Proceedings of Spring Simulation Multi-conference. 1, pp. 131--137, March 2007, Virginia, USA.

[4]

Memon, Q., and Mustafa, A. 2015. Exploring mobile health in a private online social network. International Journal of Electronic Healthcare. 8(1), 51--75.

[5]

Memon, Q. and Khoja, S. 2012. RFID based patient tracking in regional collaborative healthcare. International Journal of Computer Applications in Technology. 45(4), 231--244.

Digital Library

[6]

Yun, Y., et al. 2010. Speaker gender recognition using score level fusion by adaboost. 11th International Conference on Control, Automation, Robotics and Vision. pp. 648--653, Singapore, 7-8 December, 2010.

[7]

Yun, Y., et al. 2012. Text independent speaker gender recognition using lip movement. 12th International Conference on Control, Automation, Robotics and Vision. pp. 176--181, Guangzhou, 5-7 December, 2012.

[8]

Zhang, E., et al. 2015. I-vector based speaker gender recognition. IEEE Advanced Information Technology, Electronic and Automation Control Conference, pp. 729--732, Chongqing, 19-20 Dec. 2015.

[9]

Shi, Q., Nishino, T., and Kajikawa. 2013. Multimodal person authentication system using features of utterance. 2013. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. pp. 1--7, Kaohsiung, October 29-Nov 1, 2013.

[10]

Yan, Y., et al., 2013. Voice biometrics using linear gaussian model. IET Biometrics. 3(1), 9--15, 2013.

[11]

Gałka, J., Mąsior, M., and Salasa, M. 2015. Voice authentication embedded solution for secured access control. IEEE Transactions on Consumer Electronics. 60(4), 653--661.

[12]

Sizov, A., et al. 2015. Joint speaker verification and antispoofing in the i-vector space. IEEE Transactions on Information Forensics and Security. 10(4), 821--832.

Digital Library

[13]

Barbosa, F. and Silva, W. 2015. Support vector machines, mel-frequency cepstral coefficients and the discrete cosine transform applied on voice based biometric authentication. SAI Intelligent Systems Conference. pp. 1032--1039, London, November 10-11, 2015.

[14]

Billeb, S., et al. 2015. Biometric template protection for speaker recognition based on universal background models. IET Biometrics. 4(2), 116--126.

[15]

Alecsik, P. and Katsaggelios, A. 2006. Audio-visual biometrics. Proceedings of IEEE. 94(11), 2025--2044.

[16]

Jiang, R., Sadka, A., and Crookes, D. 2010. Multimodal biometric human recognition for perceptual human-computer interaction. IEEE Transactions on Systems, Man, and Cybernetics-Part C: Applications and Reviews. 40(6), 676--681.

Digital Library

[17]

Kim, D., Chung, K., and Hong, K. 2010. Person authentication using face, teeth and voice modalities for mobile device security. IEEE Transactions on Consumer Electronics. 56(4), pp. 2678--2685.

Digital Library

[18]

Tresadern, P., et al, 2013. Mobile biometrics: combined face and voice verification for a mobile platform. IEEE Pervasive Computing. pp. 79--87, January-March, 2013

Digital Library

[19]

Schölkopf, B., et al. 2001. Estimating the support of a high-dimensional distribution. Journal of Neural Computation. 13(7), 1443--1471.

Digital Library

Cited By

Shruti Dhanak Prasad Humbe Jay Kakade Paras Chavan Prof. Santosh Kale (2023)Voice Visual based Login Authentication using Machine LearningInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-11216(150-155)Online publication date: 1-Jun-2023
https://doi.org/10.48175/IJARSCT-11216
Contreras RViana MFonseca Edos Santos FZanin RGuido R(2023)An Experimental Analysis on Multicepstral Projection Representation Strategies for Dysphonia DetectionSensors10.3390/s2311519623:11(5196)Online publication date: 30-May-2023
https://doi.org/10.3390/s23115196
Contreras RViana MGuido R(2023)An Experimental Analysis on Mapping Strategies for Cepstral Coefficients Multi-projection in Voice Spoofing Detection ProblemArtificial Intelligence and Soft Computing10.1007/978-3-031-42508-0_27(291-306)Online publication date: 14-Sep-2023
https://doi.org/10.1007/978-3-031-42508-0_27
Show More Cited By

Index Terms

Audio-Visual Biometric Authentication for Secured Access into Personal Devices
1. Security and privacy
  1. Software and application security
    1. Domain-specific security and privacy architectures

Recommendations

Biometric Authentication Using Kekre's Wavelet Transform
ICESC '14: Proceedings of the 2014 International Conference on Electronic Systems, Signal Processing and Computing Technologies

This paper proposes an enhanced method for personal authentication based on finger Knuckle Print using Kekre's wavelet transform (KWT). Finger-knuckle-print (FKP) is the inherent skin patterns of the outer surface around the phalangeal joint of one's ...
Challenges and Opportunities of Biometric User Authentication in the Age of IoT: A Survey
While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services from managing financial transactions to monitoring smart homes, these devices often lead to gateways for malicious access to a user’s cyber-physical space. ...
Biometric keypads: Improving accuracy through optimal PIN selection

While online applications can provide convenience to individuals and organizations, they can pose significant remote user authentication challenges. One possible solution to these challenges is to utilize behavioral typing patterns to provide an ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences

ICBBS '17: Proceedings of the 6th International Conference on Bioinformatics and Biomedical Science

June 2017

184 pages

ISBN:9781450352222

DOI:10.1145/3121138

Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

Natl University of Singapore: National University of Singapore

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 22 June 2017

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article
Research
Refereed limited

Conference

ICBBS '17

ICBBS '17: 6th International Conference on Bioinformatics and Biomedical Science

June 22 - 24, 2017

Singapore, Singapore

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

7
Total Citations
View Citations
144
Total Downloads

Downloads (Last 12 months)4
Downloads (Last 6 weeks)0

Reflects downloads up to 30 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

Shruti Dhanak Prasad Humbe Jay Kakade Paras Chavan Prof. Santosh Kale (2023)Voice Visual based Login Authentication using Machine LearningInternational Journal of Advanced Research in Science, Communication and Technology10.48175/IJARSCT-11216(150-155)Online publication date: 1-Jun-2023
https://doi.org/10.48175/IJARSCT-11216
Contreras RViana MFonseca Edos Santos FZanin RGuido R(2023)An Experimental Analysis on Multicepstral Projection Representation Strategies for Dysphonia DetectionSensors10.3390/s2311519623:11(5196)Online publication date: 30-May-2023
https://doi.org/10.3390/s23115196
Contreras RViana MGuido R(2023)An Experimental Analysis on Mapping Strategies for Cepstral Coefficients Multi-projection in Voice Spoofing Detection ProblemArtificial Intelligence and Soft Computing10.1007/978-3-031-42508-0_27(291-306)Online publication date: 14-Sep-2023
https://doi.org/10.1007/978-3-031-42508-0_27
Constantinides ABelk MFidas CBeumers RVidal DHuang WBowles JWebber TSilvina APitsillides A(2022)Security and Usability of a Personalized User Authentication Paradigm: Insights from a Longitudinal Study with Three Healthcare OrganizationsACM Transactions on Computing for Healthcare10.1145/35646104:1(1-40)Online publication date: 12-Oct-2022
https://dl.acm.org/doi/10.1145/3564610
Zakeri AHassanpour H(2021)WhisperNet: Deep Siamese Network For Emotion and Speech Tempo Invariant Visual-Only Lip-Based Biometric2021 7th International Conference on Signal Processing and Intelligent Systems (ICSPIS)10.1109/ICSPIS54653.2021.9729394(1-5)Online publication date: 29-Dec-2021
https://doi.org/10.1109/ICSPIS54653.2021.9729394
Mandalapu HReddy P N ARamachandra RRao KMitra PPrasanna SBusch C(2021)Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive SurveyIEEE Access10.1109/ACCESS.2021.30630319(37431-37455)Online publication date: 2021
https://doi.org/10.1109/ACCESS.2021.3063031
Marras MMarín-Reyes PLorenzo-Navarro JCastrillón-Santana MFenu G(2020)Deep Multi-biometric Fusion for Audio-Visual User Re-Identification and VerificationPattern Recognition Applications and Methods10.1007/978-3-030-40014-9_7(136-157)Online publication date: 25-Jan-2020
https://doi.org/10.1007/978-3-030-40014-9_7

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents