Digital fingerprinting based on keystroke dynamics

A. Ahmed, I. Traore, A. Almulhem

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

22 Scopus citations

Abstract

Digital fingerprinting is an important but still challenging aspect of network forensics. This paper introduces an effective way to identify an attacker based on a strong behavioral biometric. We introduce a new passive digital fingerprinting technique based on keystroke dynamics biometrics. The technique is based on free text detection and analysis of keystroke dynamics. It allows building a behavioral model from passively collected data, and identifying users based on a very minimal amount of data.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Symposium on Human Aspects of Information Security and Assurance, HAISA 2008
EditorsSteven M. Furnell, Nathan L. Clarke
PublisherUniversity of Plymouth
Pages94-104
Number of pages11
ISBN (Electronic)9781841021898
StatePublished - 2008
Externally publishedYes

Publication series

NameProceedings of the 2nd International Symposium on Human Aspects of Information Security and Assurance, HAISA 2008

Keywords

  • Biometrics technologies
  • Digital fingerprinting
  • Free text detection of keystrokes
  • Keystroke dynamics
  • Network forensics

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Software
  • Social Psychology
  • Safety Research
  • Computer Science Applications
  • Applied Psychology

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