The BeiHang Keystroke Dynamics Authentication System
This work addresses authentication security for users by offering a biometric solution, but it is incremental as it builds upon existing keystroke dynamics methods with new data and benchmarks.
The paper tackled the problem of person authentication by designing an embedded password protection device and an online system based on keystroke dynamics, and it provided benchmark results for three classification algorithms, achieving specific performance metrics as detailed in the collected databases.
Keystroke Dynamics is an important biometric solution for person authentication. Based upon keystroke dynamics, this paper designs an embedded password protection device, develops an online system, collects two public databases for promoting the research on keystroke authentication, exploits the Gabor filter bank to characterize keystroke dynamics, and provides benchmark results of three popular classification algorithms, one-class support vector machine, Gaussian classifier, and nearest neighbour classifier.