Oct 30, 2017 · The performance of these classifiers was evaluated on four distinct behavioral biometric datasets, and compared with eight multi-class ...
Specifically, we investigate the usefulness of four one-class classifiers OCC (elliptic envelope, isolation forest, local outliers factor, and one-class support ...
Performance of the authentication system based on the proposed fusion algorithm indicated that the true positive rate is 99.15%, and the true negative rate is ...
One-Class Classification to Continuously Authenticate Users Based on Keystroke Timing Dynamics · Benchmarking Touchscreen Biometrics for Mobile Authentication.
While developing continuous authentication systems (CAS), we generally assume that samples from both genuine and impostor classes are readily available.
Nov 9, 2017 · The results indicated that SVMs trained on Scrolling recordings can achieve moderately low FAR and FRR error rates of 20.7% and 12.4%, ...
Continuous authentication using one-class classifiers and their fusion
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Bibliographic details on Continuous Authentication Using One-class Classifiers and their Fusion.
May 27, 2024 · Zheng et al. [38] were pioneers in collecting a large dataset for continuous authentication and using a one‐class distance‐ based classifier.
Feb 3, 2020 · In this article, we present FusionAuth, a sensor-based continuous authentication system leveraging the accelerometer, gyroscope, and magnetometer on ...