Quickest intrusion detection in mobile active user authentication

Pramuditha Perera, Vishal M. Patel

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

7 Scopus citations

Abstract

In this paper, we address the problem of quickly detecting intrusions with lower false detection rates in mobile Active Authentication (AA) systems. Bayesian and Minimax versions of the Quickest Change Detection (QCD) algorithms are introduced to quickly detect intrusions in mobile AA systems. Furthermore, we introduce a new evaluation metric for comparing the performance of different AA systems. Effectiveness of the proposed framework is demonstrated using three publicly available unconstrained AA datasets. It is shown that the proposed QCD-based intrusion detection method can perform better than many traditional AA methods in terms of latency and low false detection rates.

Original languageEnglish (US)
Title of host publication2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467397339
DOIs
StatePublished - Dec 19 2016
Event8th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2016 - Niagara Falls, United States
Duration: Sep 6 2016Sep 9 2016

Publication series

Name2016 IEEE 8th International Conference on Biometrics Theory, Applications and Systems, BTAS 2016

Other

Other8th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
Country/TerritoryUnited States
CityNiagara Falls
Period9/6/169/9/16

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biomedical Engineering
  • Computer Science Applications

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