Computer-Access Security Systems Using Keystroke Dynamics
IEEE Transactions on Pattern Analysis and Machine Intelligence
Authentication via keystroke dynamics
Proceedings of the 4th ACM conference on Computer and communications security
An HMM On-line Signature Verifier Incorporating Signature Trajectories
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Typing Patterns: A Key to User Identification
IEEE Security and Privacy
User authentication through typing biometrics features
IEEE Transactions on Signal Processing
Verification of computer users using keystroke dynamics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
GREYC keystroke: a benchmark for keystroke dynamics biometric systems
BTAS'09 Proceedings of the 3rd IEEE international conference on Biometrics: Theory, applications and systems
Review Article: Biometric personal authentication using keystroke dynamics: A review
Applied Soft Computing
On the discriminability of keystroke feature vectors used in fixed text keystroke authentication
Pattern Recognition Letters
| Hi-index | 0.10 |
The effect of parametric equalization of time interval histograms (key down-down intervals) on the performance of keystroke-based user verification algorithms is analyzed. Three algorithms are used throughout this analysis: a classic one for static (structured) texts, a second one, also proposed in literature, for both static and arbitrary (free) text, and a new one for arbitrary text based verification. Their performances are reported before and after time interval histogram equalization, and the results corroborate with the hypothesis that the nonlinear memoryless time interval transform proposed here, despite its simplicity, can be a useful and almost costless building block in keystroke-based biometric systems.