Age detection through keystroke dynamics from user authentication failures
Authors: Tsimperidis, I., Rostami, S., Katos, V.
Journal: International Journal of Digital Crime and Forensics
Publication Date: 01/01/2017
Volume: 9
Issue: 1
Pages: 1-16
eISSN: 1941-6229
ISSN: 1941-6210
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.
https://eprints.bournemouth.ac.uk/25123/
Source: Scopus
Age Detection Through Keystroke Dynamics from User Authentication Failures
Authors: Tsimperidis, I., Rostami, S., Katos, V.
Journal: INTERNATIONAL JOURNAL OF DIGITAL CRIME AND FORENSICS
Publication Date: 2017
Volume: 9
Issue: 1
Pages: 1-16
eISSN: 1941-6229
ISSN: 1941-6210
DOI: 10.4018/IJDCF.2017010101
https://eprints.bournemouth.ac.uk/25123/
Source: Web of Science
Age Detection Through Keystroke Dynamics From User Authentication Failures
Authors: Tsimperidis, G., Katos, V., Rostami, S.
Journal: International Journal of Digital Crime and Forensics (IJDCF)
Publication Date: 01/01/2017
Volume: 9
Issue: 1
Publisher: IGI Global
ISSN: 1941-6210
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.
https://eprints.bournemouth.ac.uk/25123/
http://www.igi-global.com/journal/international-journal-digital-crime-forensics/1112
Source: Manual