Improving Authentication Accuracy of Unfamiliar Passwords with Pauses and Cues for Keystroke Dynamics-Based Authentication

Intelligence and Security Informatics - Lecture Notes in Computer Science ◽

10.1007/11734628_9 ◽

2006 ◽

pp. 73-78 ◽

Cited By ~ 6

Author(s):

Seong-seob Hwang ◽

Hyoung-joo Lee ◽

Sungzoon Cho

Keyword(s):

Keystroke Dynamics

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Recent Advances in User Authentication Using Keystroke Dynamics Biometrics

10.15579/gcsr.vol2 ◽

2015 ◽

Cited By ~ 3

Keyword(s):

User Authentication ◽

Keystroke Dynamics ◽

Recent Advances

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Improving feature extraction in keystroke dynamics using optimization techniques and neural network

International Conference on Sustainable Energy and Intelligent Systems (SEISCON 2011) ◽

10.1049/cp.2011.0493 ◽

2011 ◽

Cited By ~ 5

Author(s):

M. Akila ◽

S.S. Kumar

Keyword(s):

Neural Network ◽

Feature Extraction ◽

Optimization Techniques ◽

Keystroke Dynamics

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

Electronics ◽

10.3390/electronics10070835 ◽

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.

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