Identifying Soft Biometric Features from a Combination of Keystroke and Mouse Dynamics

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this preliminary paper, we investigate the use of keystroke and mouse dynamics as a means of identifying soft biometric features. We present evidence that combining features from both provides a more accurate means of identifying all of the soft biometric traits investigated, regardless of the machine learning method used. The data presented in this paper gives a thorough breakdown of accuracy scores from multiple machine learning methods and numbers of features used.

Original languageEnglish
Title of host publicationAdvances in Human Factors in Robots, Unmanned Systems and Cybersecurity - Proceedings of the AHFE 2021
EditorsMatteo Zallio, Carlos Raymundo Ibañez, Jesus Hechavarria Hernandez
PublisherSpringer, Cham
Chapter23
Pages184-190
Number of pages7
ISBN (Electronic)978-3-030-79997-7
ISBN (Print)978-3-030-79996-0
DOIs
Publication statusPublished - 27 Jun 2021

Publication series

NameLecture Notes in Networks and Systems
Volume268
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Keywords

  • Keystroke dynamics
  • Mouse dynamics
  • Soft biometrics

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