Increasing Trustworthiness of Face Authentication in Mobile Devices by Modeling Gesture Behavior and Location Using Neural Networks-Reference-Cited by-同舟云学术

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Increasing Trustworthiness of Face Authentication in Mobile Devices by Modeling Gesture Behavior and Location Using Neural Networks

Published:2018-02-05 Issue:2 Volume:10 Page:17
ISSN:1999-5903
Container-title:Future Internet
language:en
Short-container-title:Future Internet

Author:

Rexha Blerim^ORCID,Shala Gresa,Xhafa Valon

Publisher

MDPI AG

Subject

Computer Networks and Communications

Link

http://www.mdpi.com/1999-5903/10/2/17/pdf

Reference23 articles.

1. How People Use Their Deviceshttps://storage.googleapis.com/think/docs/twg-how-people-use-their-devices-2016.pdf

2. Two-factor face authentication using matrix permutation transformation and a user password

3. Face Description with Local Binary Patterns: Application to Face Recognition;Shafique;Int. J. Adv. Comput. Sci. Appl.,2017

4. Biometric Recognition: Challenges and Opportunities;Pato,2010

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Privacy Enhanced Mobile User Authentication Method Using Motion Sensors;Computer Modeling in Engineering & Sciences;2024

2. Guarding the Cloud: An Effective Detection of Cloud-Based Cyber Attacks using Machine Learning Algorithms;International Journal of Online and Biomedical Engineering (iJOE);2023-12-22

3. LocAuth: A fine-grained indoor location-based authentication system using wireless networks characteristics;Computers & Security;2020-02

4. Detection of Drivers Plate at Smart Driver’s Score Application Controlled by Voice Commands;Intelligent Information and Database Systems: Recent Developments;2019-03-06

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