Your substance abuse disorder is an open secret! Gleaning sensitive personal information from templates in an EEG-based authentication system

Richard Matovu, Abdul Serwadda

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Given the task of designing an authentication system that uses brain waves as input, researchers typically focus on the sole objective of maximizing authentication accuracy. In this paper we challenge this common wisdom and argue that because brain waves encode a lot of other (potentially sensitive) information about the user, this single-pronged, privacy-agnostic approach can have significant privacy implications. Based on a publicly accessible dataset, we rigorously analyze two EEG-based authentication systems built in accordance with this philosophy and show that such designs could potentially divulge more of the users sensitive personal information than that regarding the intended authentication functionality. The paper argues for privacy-aware designs for systems which take brain signals as input.

Original languageEnglish
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

Conference

Conference8th IEEE International Conference on Biometrics Theory, Applications and Systems, BTAS 2016
CountryUnited States
CityNiagara Falls
Period09/6/1609/9/16

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