Faceture ID: face and hand gesture multi-factor authentication using deep learning-Reference-Cited by-同舟云学术

Faceture ID: face and hand gesture multi-factor authentication using deep learning

Published:2018 Issue: Volume:135 Page:147-154
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Aleluya Earl Ryan M.,Vicente Celesamae T.

Publisher

Elsevier BV

Subject

General Engineering

Reference24 articles.

1. An Adaptive Approach Towards the Selection of Multi-Factor Authentication;Nag;2015 IEEE Symposium Series on Computational Intelligence,2015

2. Ba Z, Ren K. Addressing smartphone-based multi-factor authentication via hardware-rooted technologies. In 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS); 2017. p. 1910-1914.

3. Uluagac AS, Liu W, Beyah R. A multi-factor re-authentication framework with user privacy. In 2014 IEEE Conference on Communications and Network Security; 2014. p. 504-505.

4. Two Factor Authentication System using Intervened password and Color Pattern;Prasad;International Journal of Scientific & Engineering Research,2015

5. A usable and secure two-factor authentication scheme;Akram;International Security Journal: A Global Perspective,2012

Cited by 10 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. CNN-Based Multi-Factor Authentication System for Mobile Devices Using Faces and Passwords;Applied Sciences;2024-06-08

2. Research and development of two-factor authentication methods using neural networks;2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST);2024-05-15

3. Cloud leakage in higher education in South Africa: A case of University of Technology;South African Journal of Information Management;2024-02-16

4. Strengthening Cloud Security: An Innovative Multi-Factor Multi-Layer Authentication Framework for Cloud User Authentication;Applied Sciences;2023-09-30

5. Review on Deep Learning based Network Security Tools in Detecting Real-Time Vulnerabilities;Journal of Ubiquitous Computing and Communication Technologies;2022-01-31