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Age Detection Through Keystroke Dynamics from User Authentication Failures
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Author(s): Ioannis Tsimperidis (Democritus University of Thrace, Komotini, Greece), Shahin Rostami (Bournemouth University, Poole, UK)and Vasilios Katos (Bournemouth University, Poole, UK)
Copyright: 2017
Volume: 9
Issue: 1
Pages: 16
Source title:
International Journal of Digital Crime and Forensics (IJDCF)
Editor(s)-in-Chief: Feng Liu (Chinese Academy of Sciences, China)
DOI: 10.4018/IJDCF.2017010101
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Abstract
In this paper an incident response approach is proposed for handling detections of authentication failures in systems that employ dynamic biometric authentication and more specifically keystroke user recognition. The main component of the approach is a multi layer perceptron focusing on the age classification of a user. Empirical findings show that the classifier can detect the age of the subject with a probability that is far from the uniform random distribution, making the proposed method suitable for providing supporting yet circumstantial evidence during e-discovery.
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