Age Detection Through Keystroke Dynamics From User Authentication Failures.

Tsimperidis, G., Katos, V. and Rostami, S., 2017. Age Detection Through Keystroke Dynamics From User Authentication Failures. International Journal of Digital Crime and Forensics (IJDCF), 9 (1), pp. 1-16.

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DOI: 10.4018/IJDCF.2017010101

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.

Item Type:Article
ISSN:1941-6210
Additional Information:IGI Global
Uncontrolled Keywords:Age Classifier ; Age Detection ; Biometrics ; Multi Layer Perceptron ; Offender Profiling
Subjects:UNSPECIFIED
Group:Faculty of Science & Technology
ID Code:25123
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:21 Dec 2016 13:08
Last Modified:14 Mar 2017 15:08

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