Keystroke Dynamics Verification Using a Spontaneously Generated Password

2006 ◽  
Author(s):  
Shimon Modi ◽  
Stephen Elliott
Keyword(s):  
Keystroke Dynamics

scholarly journals Age and Gender as Cyber Attribution Features in Keystroke Dynamic-Based User Classification Processes

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 835
Author(s):  
Ioannis Tsimperidis ◽  
Cagatay Yucel ◽  
Vasilios Katos
Keyword(s):  
High Accuracy ◽  
Keystroke Dynamics ◽  
Time Intervals ◽  
Age And Gender ◽  
Common Features ◽  
User Classification ◽  
Gender And Age ◽  
And Gender ◽  
Keystroke Dynamic

Keystroke dynamics are used to authenticate users, to reveal some of their inherent or acquired characteristics and to assess their mental and physical states. The most common features utilized are the time intervals that the keys remain pressed and the time intervals that are required to use two consecutive keys. This paper examines which of these features are the most important and how utilization of these features can lead to better classification results. To achieve this, an existing dataset consisting of 387 logfiles is used, five classifiers are exploited and users are classified by gender and age. The results, while demonstrating the application of these two characteristics jointly on classifiers with high accuracy, answer the question of which keystroke dynamics features are more appropriate for classification with common classifiers.

Computer user verification using login string keystroke dynamics

1998 ◽  
Vol 28 (2) ◽  
pp. 236-241 ◽  
Author(s):  
J.A. Robinson ◽  
V.W. Liang ◽  
J.A.M. Chambers ◽  
C.L. MacKenzie
Keyword(s):  
Computer User ◽  
Keystroke Dynamics

Keystroke dynamics-based authentication for mobile devices

2009 ◽  
Vol 28 (1-2) ◽  
pp. 85-93 ◽  
Author(s):  
Seong-seob Hwang ◽  
Sungzoon Cho ◽  
Sunghoon Park
Keyword(s):  
Mobile Devices ◽  
Keystroke Dynamics
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