A New Dataset for Smartphone Gesture-based Authentication

Elliu Huang, Fabio Di Troia, Mark Stamp, Preethi Sundaravaradhan

Abstract

In this paper, we consider the problem of authentication on a smartphone, based on gestures. Specifically, the gestures consist of users holding a smartphone while writing their initials in the air. Accelerometer data from 80 subjects was collected and we provide a preliminary analysis of this data using machine learning techniques. The machine learning techniques considered include principal component analysis (PCA) and support vector machines (SVM). The results presented here are intended to provide a baseline for additional research based on our dataset.

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Paper Citation


in Harvard Style

Huang E., Di Troia F., Stamp M. and Sundaravaradhan P. (2021). A New Dataset for Smartphone Gesture-based Authentication.In Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ForSE, ISBN 978-989-758-491-6, pages 771-780. DOI: 10.5220/0010425807710780


in Bibtex Style

@conference{forse21,
author={Elliu Huang and Fabio Di Troia and Mark Stamp and Preethi Sundaravaradhan},
title={A New Dataset for Smartphone Gesture-based Authentication},
booktitle={Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ForSE,},
year={2021},
pages={771-780},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010425807710780},
isbn={978-989-758-491-6},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 7th International Conference on Information Systems Security and Privacy - Volume 1: ForSE,
TI - A New Dataset for Smartphone Gesture-based Authentication
SN - 978-989-758-491-6
AU - Huang E.
AU - Di Troia F.
AU - Stamp M.
AU - Sundaravaradhan P.
PY - 2021
SP - 771
EP - 780
DO - 10.5220/0010425807710780