Effect of context in swipe gesture-based continuous authentication on smartphones

Pekka Siirtola, Jukka Komulainen, Vili Kellokumpu

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

2 Citations (Scopus)

Abstract

This work investigates how context should be taken into account when performing continuous authentication of a smartphone user based on touchscreen and accelerometer readings extracted from swipe gestures. The study is conducted on the publicly available HMOG dataset consisting of 100 study subjects performing pre-defined reading and navigation tasks while sitting and walking. It is shown that context-specific models are needed for different smartphone usage and human activity scenarios to minimize authentication error. Also, the experimental results suggests that utilization of phone movement improves swipe gesture-based verification performance only when the user is moving.
Original languageEnglish
Title of host publicationESANN 2018 - Proceedings
Subtitle of host publication26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Publisheri6doc.com
Pages639-644
Number of pages6
ISBN (Electronic)978-287587047-6
Publication statusPublished - 1 Jan 2018
MoE publication typeA4 Article in a conference publication
Event26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018 - Bruges, Belgium
Duration: 25 Apr 201827 Apr 2018

Conference

Conference26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018
CountryBelgium
CityBruges
Period25/04/1827/04/18

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