EEG-based biometrics for person identification and continuous authentication

Min Wang, Hussein A. Abbass, Jiankun Hu

Research output: A Conference proceeding or a Chapter in BookChapterpeer-review

2 Citations (Scopus)

Abstract

In this chapter, we will provide an overview of EEG biometrics and discuss some of the salient research issues that need to be addressed for making EEG biometric an effective tool for providing information security. We introduce brain signals, especially EEG signals and its analysis methods, before we discuss brainwave biometrics from four aspects, namely the criteria, the elicitation protocols, the feature extraction methods and the classification algorithms. The chapter is then concluded with discussions on how to integrate EEG biometrics with other biometric modalities for continuous authentication, followed by open research questions on the design of EEG-based biometric systems.

Original languageEnglish
Title of host publicationInformation Security
Subtitle of host publicationFoundations, Technologies and Applications
EditorsAli Ismail Awad, Michael Fairhurst
Place of PublicationUnited Kingdom
PublisherInstitution of Engineering and Technology
Chapter13
Pages311-346
Number of pages36
ISBN (Electronic)9781849199742
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes

Publication series

NameIET SECURITY SERIES 01

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