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

1 Citation (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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Smartphones
Authentication
Touch screens
Accelerometers
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Cite this

Siirtola, P., Komulainen, J., & Kellokumpu, V. (2018). Effect of context in swipe gesture-based continuous authentication on smartphones. In ESANN 2018 - Proceedings: 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 639-644). [ES2018-104] i6doc.com.
Siirtola, Pekka ; Komulainen, Jukka ; Kellokumpu, Vili. / Effect of context in swipe gesture-based continuous authentication on smartphones. ESANN 2018 - Proceedings: 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com, 2018. pp. 639-644
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Siirtola, P, Komulainen, J & Kellokumpu, V 2018, Effect of context in swipe gesture-based continuous authentication on smartphones. in ESANN 2018 - Proceedings: 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning., ES2018-104, i6doc.com, pp. 639-644, 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2018, Bruges, Belgium, 25/04/18.

Effect of context in swipe gesture-based continuous authentication on smartphones. / Siirtola, Pekka; Komulainen, Jukka; Kellokumpu, Vili.

ESANN 2018 - Proceedings: 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com, 2018. p. 639-644 ES2018-104.

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

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AB - 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.

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Siirtola P, Komulainen J, Kellokumpu V. Effect of context in swipe gesture-based continuous authentication on smartphones. In ESANN 2018 - Proceedings: 26th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. i6doc.com. 2018. p. 639-644. ES2018-104