loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Authors: Yimiao Wang and Tasmina Islam

Affiliation: Department of Informatics, King’s College London, London, U.K.

Keyword(s): Mouse Dynamics, Game Account Sharing, Cybersecurity, User Authentication, Behavioural Biometrics.

Abstract: As the internet has taken a huge part of people’s life, the personal information an online account can hold has increased as well, resulting in many concerns related to cybersecurity and privacy. Children as a vulnerable group could participate in risky actions unconsciously causing privacy leakage, like sharing a game account. This paper discusses the possible security and privacy risks caused by game account sharing and proposes a countermeasure based on user authentication to detect the true owner of the game account using their mouse dynamics. Support Vector Machine and Random Forest have been used for classification of the true owner and the intruder using players’ mouse dynamics data captured from “Minecraft” game. This paper also investigates the effect of different feature sets in detecting the players using feature ranking algorithms.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.144.202.167

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:
Wang, Y. and Islam, T. (2023). Addressing Privacy and Security Concerns in Online Game Account Sharing: Detecting Players Using Mouse Dynamics. In Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-626-2; ISSN 2184-4313, SciTePress, pages 864-871. DOI: 10.5220/0011678300003411

@conference{icpram23,
author={Yimiao Wang. and Tasmina Islam.},
title={Addressing Privacy and Security Concerns in Online Game Account Sharing: Detecting Players Using Mouse Dynamics},
booktitle={Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2023},
pages={864-871},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011678300003411},
isbn={978-989-758-626-2},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Addressing Privacy and Security Concerns in Online Game Account Sharing: Detecting Players Using Mouse Dynamics
SN - 978-989-758-626-2
IS - 2184-4313
AU - Wang, Y.
AU - Islam, T.
PY - 2023
SP - 864
EP - 871
DO - 10.5220/0011678300003411
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic