A Comparative Study of the Security of Facial Recognition and Fingerprint Scanners for Mobile Devices
Biometrics are biological measurements of an individual that can be used to identify them. This is commonly used to safeguard important documents or authenticate individuals to allow them exclusive access. In this modern age, there is a variety of personal data dispersed in people’s credit cards, ph...
Saved in:
Main Authors: | , , |
---|---|
Format: | text |
Published: |
Animo Repository
2022
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/conf_shsrescon/2022/paper_csr/9 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1159&context=conf_shsrescon |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
id |
oai:animorepository.dlsu.edu.ph:conf_shsrescon-1159 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:conf_shsrescon-11592023-02-16T07:34:27Z A Comparative Study of the Security of Facial Recognition and Fingerprint Scanners for Mobile Devices Geronimo, Jose Angelo S. Kim, Alyza Beatrice D. Lim, Lance Heinrich S. Biometrics are biological measurements of an individual that can be used to identify them. This is commonly used to safeguard important documents or authenticate individuals to allow them exclusive access. In this modern age, there is a variety of personal data dispersed in people’s credit cards, phones, etc. This study aims to assess biometric authentication under different conditions, identify facial and fingerprint security levels, and evaluate the architectural security and spoofability of different devices based on four metrics. The study then concludes the more secure type between facial and fingerprint recognition for the devices. Through this study, mobile device users can better understand the risks when selecting a security lock, while mobile device developers and future biometrics research can utilize this study as a basis to prevent the tested attacks. Various devices capable of facial and/or fingerprint biometrics were utilized for the study. The data were gathered through a series of experiments to test different scenarios when registering and authenticating facial and fingerprint biometrics. For facial recognition, important factors include sufficient lighting, present facial features including the eyes, nose, and mouth, and a near distance in which the face is captured. Apple devices proved to be the most secure while Samsung and Huawei devices are less secure but have more features for flexibility. For fingerprint recognition, the presence of water and strong materials used for spoofing may result in a false rejection or false acceptance, respectively. Apple devices were the most secure followed by Samsung then Huawei devices. 2022-05-13T17:30:00Z text application/pdf https://animorepository.dlsu.edu.ph/conf_shsrescon/2022/paper_csr/9 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1159&context=conf_shsrescon DLSU Senior High School Research Congress Animo Repository Authentication Systems Forgery of Authentication Systems Fingerprint Biometric Systems Facial Biometric Systems Security Evaluation of Biometric Systems |
institution |
De La Salle University |
building |
De La Salle University Library |
continent |
Asia |
country |
Philippines Philippines |
content_provider |
De La Salle University Library |
collection |
DLSU Institutional Repository |
topic |
Authentication Systems Forgery of Authentication Systems Fingerprint Biometric Systems Facial Biometric Systems Security Evaluation of Biometric Systems |
spellingShingle |
Authentication Systems Forgery of Authentication Systems Fingerprint Biometric Systems Facial Biometric Systems Security Evaluation of Biometric Systems Geronimo, Jose Angelo S. Kim, Alyza Beatrice D. Lim, Lance Heinrich S. A Comparative Study of the Security of Facial Recognition and Fingerprint Scanners for Mobile Devices |
description |
Biometrics are biological measurements of an individual that can be used to identify them. This is commonly used to safeguard important documents or authenticate individuals to allow them exclusive access. In this modern age, there is a variety of personal data dispersed in people’s credit cards, phones, etc. This study aims to assess biometric authentication under different conditions, identify facial and fingerprint security levels, and evaluate the architectural security and spoofability of different devices based on four metrics. The study then concludes the more secure type between facial and fingerprint recognition for the devices. Through this study, mobile device users can better understand the risks when selecting a security lock, while mobile device developers and future biometrics research can utilize this study as a basis to prevent the tested attacks. Various devices capable of facial and/or fingerprint biometrics were utilized for the study. The data were gathered through a series of experiments to test different scenarios when registering and authenticating facial and fingerprint biometrics. For facial recognition, important factors include sufficient lighting, present facial features including the eyes, nose, and mouth, and a near distance in which the face is captured. Apple devices proved to be the most secure while Samsung and Huawei devices are less secure but have more features for flexibility. For fingerprint recognition, the presence of water and strong materials used for spoofing may result in a false rejection or false acceptance, respectively. Apple devices were the most secure followed by Samsung then Huawei devices. |
format |
text |
author |
Geronimo, Jose Angelo S. Kim, Alyza Beatrice D. Lim, Lance Heinrich S. |
author_facet |
Geronimo, Jose Angelo S. Kim, Alyza Beatrice D. Lim, Lance Heinrich S. |
author_sort |
Geronimo, Jose Angelo S. |
title |
A Comparative Study of the Security of Facial Recognition and Fingerprint Scanners for Mobile Devices |
title_short |
A Comparative Study of the Security of Facial Recognition and Fingerprint Scanners for Mobile Devices |
title_full |
A Comparative Study of the Security of Facial Recognition and Fingerprint Scanners for Mobile Devices |
title_fullStr |
A Comparative Study of the Security of Facial Recognition and Fingerprint Scanners for Mobile Devices |
title_full_unstemmed |
A Comparative Study of the Security of Facial Recognition and Fingerprint Scanners for Mobile Devices |
title_sort |
comparative study of the security of facial recognition and fingerprint scanners for mobile devices |
publisher |
Animo Repository |
publishDate |
2022 |
url |
https://animorepository.dlsu.edu.ph/conf_shsrescon/2022/paper_csr/9 https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1159&context=conf_shsrescon |
_version_ |
1759060075999133696 |