Abstract
Purpose
– The purpose of this paper is to investigate the feasibility of identifying the gender of an author by measuring the keystroke duration when typing a message.
Design/methodology/approach
– Three classifiers were constructed and tested. The authors empirically evaluated the effectiveness of the classifiers by using empirical data. The authors used primary data as well as a publicly available dataset containing keystrokes from a different language to validate the language independence assumption.
Findings
– The results of this paper indicate that it is possible to identify the gender of an author by analyzing keystroke durations with a probability of success in the region of 70 per cent.
Research limitations/implications
– The proposed approach was validated with a limited number of participants and languages, yet the statistical tests show the significance of the results. However, this approach will be further tested with other languages.
Practical implications
– Having the ability to identify the gender of an author of a certain piece of text has value in digital forensics, as the proposed method will be a source of circumstantial evidence for “putting fingers on keyboard” and for arbitrating cases where the true origin of a message needs to be identified.
Social implications
– If the proposed method is included as part of a text-composing system (such as e-mail, and instant messaging applications), it could increase trust toward the applications that use it and may also work as a deterrent for crimes involving forgery.
Originality/value
– The proposed approach combines and adapts techniques from the domains of biometric authentication and data classification.