Evaluating the impact of contextual information on the performance of intelligent continuous authentication systems
Author:
Affiliation:
1. Department of Information and Communications Engineering, University of Murcia, Spain, Spain
2. Communication Systems Group CSG, Department of Informatics, University of Zurich, Switzerland
Funder
armasuisse S&T
INCIBE (Instituto Nacional de Ciberseguridad)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3664476.3670913
Reference21 articles.
1. Intrusion detection using mouse dynamics
2. DAKOTA: Continuous Authentication with Behavioral Biometrics in a Mobile Banking Application
3. Ingo Deutschmann and Johan Lindholm. 2013. Behavioral biometrics for DARPA’s active authentication program. In 2013 International Conference of the BIOSIG Special Interest Group (BIOSIG). IEEE, 1–8.
4. S3: An AI-Enabled User Continuous Authentication for Smartphones Based on Sensors, Statistics and Speaker Information
5. Multi-modal decision fusion for continuous authentication
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