The Gaze and Mouse Signal as Additional Source for User Fingerprints in Browser Applications

Wolfgang Fuhl, Daniel Weber, Shahram Eivazi, Shahram Eivazi

2023

Abstract

In this work, we inspect different data sources for browser fingerprints. We show which disadvantages and limitations browser statistics have and how this can be avoided with other data sources. Since human visual behavior is a rich source of information and also contains person specific information, it is a valuable source for browser fingerprints. However, human gaze acquisition in the browser also has disadvantages, such as inaccuracies via webcam and the restriction that the user must first allow access to the camera. However, it is also known that the mouse movements and the human gaze correlate and therefore, the mouse movements can be used instead of the gaze signal. In our evaluation, we show the influence of all possible combinations of the three information sources for user recognition and describe our simple approach in detail.

Paper Citation

in Harvard Style

Fuhl W., Weber D. and Eivazi S. (2023). The Gaze and Mouse Signal as Additional Source for User Fingerprints in Browser Applications. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP; ISBN 978-989-758-634-7, SciTePress, pages 117-124. DOI: 10.5220/0011607300003417

in Bibtex Style

@conference{hucapp23,
author={Wolfgang Fuhl and Daniel Weber and Shahram Eivazi},
title={The Gaze and Mouse Signal as Additional Source for User Fingerprints in Browser Applications},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP},
year={2023},
pages={117-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011607300003417},
isbn={978-989-758-634-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 2: HUCAPP
TI - The Gaze and Mouse Signal as Additional Source for User Fingerprints in Browser Applications
SN - 978-989-758-634-7
AU - Fuhl W.
AU - Weber D.
AU - Eivazi S.
PY - 2023
SP - 117
EP - 124
DO - 10.5220/0011607300003417
PB - SciTePress