Touchpad input for continuous biometric authentication

Alexander Chan, Tzipora Halevi, Nasir Memon

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


Authentication is a process which is used for access control in computer security. However, common existing methods of authentication, which are based on authentication during the login stage, are insecure due to the lack of authentication after the initial instance. Ideally, authentication should be continuous and should not interfere with a user's normal behavior as to not create an inconvenience for the user. Behaviometric identification, for example, verifies a user's identity based on his behavior, both continuously and without interruption. This work shows that it is possible, with great accuracy, to identify different users based on their touchpad behaviors. While linear classifiers proved ineffective at classifying touchpad behavior, kernel density estimation and decision tree classification each proved capable of classifying data sets with over 90% accuracy.

Original languageEnglish (US)
Title of host publicationCommunications and Multimedia Security - 15th IFIP TC 6/TC 11 International Conference, CMS 2014, Proceedings
PublisherSpringer Verlag
Number of pages6
ISBN (Print)9783662448847
StatePublished - 2014
Event15th IFIP TC 6/TC 11 International Conference on Communications and Multimedia Security, CMS 2014 - Aveiro, Portugal
Duration: Sep 25 2014Sep 26 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8735 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other15th IFIP TC 6/TC 11 International Conference on Communications and Multimedia Security, CMS 2014


  • behaviometrics
  • behavior
  • biometrics
  • touchpad

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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