Paper Info
Title
Type Me the Truth!: Detecting Deceitful Users via Keystroke Dynamics
Abstract
In this paper, we propose a novel method, based on keystroke dynamics, to distinguish between fake and truthful personal information written 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 first 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 specific types of autobiographical information, with an accuracy higher than 75%. Specifically, for information usually required in online registration forms (e.g., name, surname and email), the typing behavior diverged significantly between truthful or untruthful answers. According to our results, keystroke analysis could have a great potential in detecting the veracity of self-declared information, and it could be applied to a large number of practical scenarios requiring users to input personal data remotely via keyboard.
Year
DOI
Venue
2017
10.1145/3098954.3104047
ARES
Keywords
Field
DocType
Lie detection, keystroke dynamics, keyboard interaction, cyber-security, fake accounts
Computer security,Computer science,Lie detection,Keystroke dynamics,Typing,Keystroke analysis,Personally identifiable information
Conference
ISBN
Citations 
PageRank 
978-1-4503-5257-4
1
0.36
References 
Authors
13
6
Name
Order
Citations
PageRank
Merylin Monaro110.36
Riccardo Spolaor213210.21
QianQian Li3101.61
Mauro Conti42430203.80
Luciano Gamberini536849.76
G Sartori671.55