Improving Performance and Usability in Mobile Keystroke Dynamic Biometric Authentication-Reference-Cited by-同舟云学术

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Improving Performance and Usability in Mobile Keystroke Dynamic Biometric Authentication

Published:2016-05 Issue: Volume: Page:
ISSN:
Container-title:2016 IEEE Security and Privacy Workshops (SPW)
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Author:

Alshanketi Faisal,Traore Issa,Ahmed Ahmed Awad

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7517741/7527729/07527755.pdf?arnumber=7527755

Cited by 40 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. Identity authentication model from continuous keystroke pattern using CSO and LSTM network;International Journal of Biometrics;2024

2. A Review of User Identification Methods Based on Digital Fingerprint;Proceedings of Telecommunication Universities;2023-11-14

3. Challenges and Opportunities of Biometric User Authentication in the Age of IoT: A Survey;ACM Computing Surveys;2023-08-25

4. Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication;Journal of Cybersecurity and Privacy;2023-06-13

5. CKDAN: Content and keystroke dual attention networks with pre-trained models for continuous authentication;Computers & Security;2023-05

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