Detecting Identity Deception in Online Context: A Practical Approach Based on Keystroke Dynamics

Matteo Cardaioli*, Merylin Monaro, Giuseppe Sartori, Mauro Conti

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

Keystroke dynamics has been recently proved to be an effective behavioral measure to detect subjects who provide false demographic information in online contexts. However, current techniques still suffer from some limits that restrict their practical application, such as the use of errors as a key feature to train the lie detectors and the absence of normalized features. Here, an extension of a keystroke dynamics technique, which was recently proposed to detect faked identities, is reported with the goal to overcome these limitations. Using a Quadratic Discriminant Analysis an accuracy up to 92% in the identification of faked identities has been reached, even if errors were excluded from predictors and normalized features were included. The classification model performs similarly to those previously proposed, with a slightly lower accuracy (−3%) but overcoming their important practical limitations.

Original languageEnglish
Title of host publicationAdvances in Human Factors in Cybersecurity - AHFE 2020 Virtual Conference on Human Factors in Cybersecurity
EditorsIsabella Corradini, Enrico Nardelli, Tareq Ahram
PublisherSpringer
Pages41-48
Number of pages8
ISBN (Print)9783030525804
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventAHFE Virtual Conference on Human Factors in Cybersecurity, 2020 - San Diego, United States
Duration: 16 Jul 202020 Jul 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1219 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

ConferenceAHFE Virtual Conference on Human Factors in Cybersecurity, 2020
Country/TerritoryUnited States
CitySan Diego
Period16/07/2020/07/20

Keywords

  • Identity verification
  • Keystroke dynamics
  • Lie detection

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