On the discriminability of keystroke feature vectors used in fixed text keystroke authentication-Reference-Cited by-同舟云学术

On the discriminability of keystroke feature vectors used in fixed text keystroke authentication

Published:2011-05 Issue:7 Volume:32 Page:1070-1080
ISSN:0167-8655
Container-title:Pattern Recognition Letters
language:en
Short-container-title:Pattern Recognition Letters

Author:

Balagani Kiran S.,Phoha Vir V.,Ray Asok,Phoha Shashi

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference32 articles.

1. User authentication through typing biometrics features;Arajo;IEEE Trans. Signal Process.,2005

2. Using mutual information for selecting features in supervised neural net learning;Battiti;IEEE Trans. Neural Networks,1994

3. User authentication through keystroke dynamics;Bergandano;ACM Trans. Inform. System Secur.,2002

4. Pattern Classification;Duda,2000

5. Fayyad, U.M., Irani, K., 1993. Multiinterval discretization of continuous-valued attributes for classification learning. In: Pro. Thirteenth Internat. Joint Conf. on Artificial Intelligence, Chambery, France, pp. 1022–1027.

Cited by 34 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. TypeFormer: transformers for mobile keystroke biometrics;Neural Computing and Applications;2024-07-30

2. A comprehensive study of machine learning approaches for keystroke dynamics authentication;International Journal of Biometrics;2023

3. An Introduction to Biometric Authentication Systems;Textbook of Forensic Science;2023

4. Problems of Developing User Identification Systems by Keyboard Handwriting;Advances in Automation IV;2023

5. Research of capacity characteristics of keyboards to measure the speed of keystroke;INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE “INNOVATIVE TECHNOLOGIES IN AGRICULTURE”;2023