Type Me the Truth! Detecting Deceitful Users via Keystroke Dynamics.

In this paper, we propose a novel method, based on keystroke dynamics, to distinguish between fake and truthful personal infor- mation wri en via a computer keyboard. Our method does not need any prior knowledge about the user who is providing data. To our knowledge, this is the rst work that associates the typing human behavior with the production of lies regarding personal information. Via experimental analysis involving 190 subjects, we assess that this method is able to distinguish between truth and lies on speci c types of autobiographical information, with an accuracy higher than 75%. Speci cally, for information usually required in online registration forms (e.g., name, surname and email), the typ- ing behavior diverged signi cantly between truthful or untruthful answers. According to our results, keystroke analysis could have a great potential in detecting the veracity of self-declared informa- tion, and it could be applied to a large number of practical scenarios requiring users to input personal data remotely via keyboard.