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

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

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 co...

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Bibliographic Details
Main Authors: Ioannis Tsimperidis, Cagatay Yucel, Vasilios Katos
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Electronics
Subjects:
keystroke dynamics
data mining
user classification
feature selection
feature comparison
Online Access:https://www.mdpi.com/2079-9292/10/7/835

Internet

https://www.mdpi.com/2079-9292/10/7/835

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