Behavioral Biometric Authentication in Android Unlock Patterns through Machine Learning
Author:
Affiliation:
1. Telefónica Digital España, Ronda de la Comunicación S/N, Madrid and Spain, --- Select a Country ---
2. Department of Informatics, University of Piraeus, Karaoli & Dimitriou 80, Piraeus and Greece, --- Select a Country ---
Publisher
SCITEPRESS - Science and Technology Publications
Cited by 7 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. Look Closer to Touch Behavior-enabled Android Pattern Locks: A Study in the Wild;2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2023-11-01
2. Deep Learning and Machine Learning, Better Together Than Apart: A Review on Biometrics Mobile Authentication;Journal of Cybersecurity and Privacy;2023-06-13
3. Squeez’In: Private Authentication on Smartphones based on Squeezing Gestures;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19
4. A Systematic Survey on Android API Usage for Data-driven Analytics with Smartphones;ACM Computing Surveys;2022-12-03
5. Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning;2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML);2022-03
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