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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:http://purl.utwente.nl/essays/71532
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