CyberSignature: A user authentication tool based on behavioural biometrics

Research output: Contribution to journalArticle (journal)peer-review

Abstract

Behavioural biometrics, such as the way people type on computer keyboard and/or move the cursor are almost impossible to steal. This paper presents CyberSignature1, a tool that uses behavioural biometrics to create unique digital identities that can be used during online card transactions to distinguish legitimate users from fraudsters. The tool is implemented in Python, with a machine learning algorithm at its core. It receives user input data entries from a graphical user interface, similar to an online payment form, and transforms them into unique digital identities. The tool is freely available on Github and is entitled ‘CyberSignature’.
Original languageEnglish
Article number100443
JournalSoftware Impacts
Volume14
Early online date15 Nov 2022
DOIs
Publication statusPublished - 23 Nov 2022

Keywords

  • Behavioural biometrics
  • Payment authentication
  • Digital identity
  • Cybersecurity
  • Identity fraud detection
  • machine learning

Research Centres

  • Data & Complex Systems Research Centre

Research Groups

  • SustainNET

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