User Re-Authentication via Mouse Movements and Recurrent Neural Networks

Paul Houssel; Luis Leiva

Research.Publish.Connect.

*Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

*Please fill out at least one Field.

Name:
Country:
Subject:

Advanced Search Affiliations Search

If you're looking for an exact phrase use quotation marks on text fields.

Proceedings

Proceedings Search *Please fill out at least one Field. *Value must be an number!

Title:
ISBN:
Year:
Acronym:
Subject:

Advanced Search Proceedings Search

If you're looking for an exact phrase use quotation marks on text fields.

Papers

Papers Search *Please fill out at least one Field.

Title:
Author:
Affiliation:
Subject:

Advanced Search Papers Search

If you're looking for an exact phrase use quotation marks on text fields.

Authors

Authors Search *Please fill out at least one Field.

Name:
Affiliation:
Country:
Conference:
Subject:

Advanced Search Authors Search

If you're looking for an exact phrase use quotation marks on text fields.

Advanced Search

Paper

User Re-Authentication via Mouse Movements and Recurrent Neural Networks

Topics: AI and Machine Learning for Security; Authentication, Biometrics, Identification

In Proceedings of the 10th International Conference on Information Systems Security and Privacy ICISSP - Volume 1, 652-659, 2024 , Rome, Italy

Authors: Paul Houssel and Luis Leiva

Affiliation: University of Luxembourg, Luxembourg

Keyword(s): Mouse Movements, Biometrics, Authentication, Neural Networks.

Abstract: Behavioral biometrics can determine whether a user interaction has been performed by a legitimate user or an impersonator. In this regard, user re-authentication based on mouse movements has emerged as a reliable and accessible solution, without being intrusive or requiring any explicit input from the user other than regular interactions. Previous work has reported remarkably good classification performance when predicting impersonated mouse movements, however, it has relied on manual data preprocessing or ad-hoc feature extraction methods. In this paper, we design and contrast different recurrent neural networks that take as input raw mouse movements, represented by discrete sequences of coordinate derivatives (coordinate offsets relative to time), as a mean of user re-authentication that could be used on web platforms. We show that a 2-layer BiGRU model outperforms state-of-the-art approaches while being much simpler and more efficient. Our software and models are publicly available.

CC BY-NC-ND 4.0

Guest: Register as new SciTePress user now for free.

SciTePress user: please login.

My Papers

You are not signed in, therefore limits apply to your IP address 18.217.109.151

In the current month:

Recent papers: 100 available of 100 total

2⁺ years older papers: 200 available of 200 total

Paper citation in several formats:

Houssel, P. and Leiva, L. (2024). User Re-Authentication via Mouse Movements and Recurrent Neural Networks. In Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP; ISBN 978-989-758-683-5; ISSN 2184-4356, SciTePress, pages 652-659. DOI: 10.5220/0012296600003648

@conference{icissp24,
author={Paul Houssel. and Luis Leiva.},
title={User Re-Authentication via Mouse Movements and Recurrent Neural Networks},
booktitle={Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP},
year={2024},
pages={652-659},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012296600003648},
isbn={978-989-758-683-5},
issn={2184-4356},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Information Systems Security and Privacy - ICISSP
TI - User Re-Authentication via Mouse Movements and Recurrent Neural Networks
SN - 978-989-758-683-5
IS - 2184-4356
AU - Houssel, P.
AU - Leiva, L.
PY - 2024
SP - 652
EP - 659
DO - 10.5220/0012296600003648
PB - SciTePress