University of Twente Student Theses
Deception detection using keystroke dynamics : on the methods to predict deceptive behavior by looking at the keystroke rhythm
Huisman, A.B. (2016) Deception detection using keystroke dynamics : on the methods to predict deceptive behavior by looking at the keystroke rhythm.
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| Abstract: | Keystroke dynamics is the detailed timing information that describes exactly when each key was pressed and when it was released as a person is typing at a computer keyboard. Keystroke dynamics is considered a behavioral biometric. Deceivers often exhibit behavioral and physical traits as a consequence of their deception. In this thesis, it is tested if deceiving causes changes in a deceivers typing rhythm. |
| Item Type: | Essay (Master) |
| Clients: | PricewaterhouseCoopers, Amsterdam, Netherlands |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Subject: | 54 computer science, 77 psychology |
| Programme: | Industrial Engineering and Management MSc (60029) |
| Link to this item: | https://purl.utwente.nl/essays/71532 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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