loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mario Luca Bernardi 1 ; Marta Cimitile 2 ; Fabio Martinelli 3 and Francesco Mercaldo 3

Affiliations: 1 Giustino Fortunato University, Italy ; 2 Unitelma Sapienza University, Italy ; 3 National Research Council of Italy (CNR), Italy

Keyword(s): Game Bot, Machine Learning, Game Bot Detection, Security, Testing.

Related Ontology Subjects/Areas/Topics: Software and Information Security ; Software Engineering ; Software Engineering Methods and Techniques ; Software Metrics ; Software Project Management

Abstract: The market of online games is highly increasing in the last years and thanks to the availability of always more effective gaming infrastructures and the increased quality of the developed games. The diffusion of on line games also increases the use of game bots to automatically perform malicious tasks obtaining some rewards (with a consequent economical advantage or popularity) in the game community with low effort. These causes the disappointment of the game players community becoming a critical issue for the game developers. For this reason, distinguishing between game bots and human behaviour being became essential in order to detect the malicious tasks and consequently increase the players satisfaction. In this paper authors propose an approach to the game bot detection in the online role player games based on the adoption of machine learning techniques in order to discriminate between users and game bots basing on some user behavioral features. The approach is applied to a real- world dataset of a popular role player game and the obtained results are encouraging. (More)

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 3.138.102.178

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:
Bernardi, M.; Cimitile, M.; Martinelli, F. and Mercaldo, F. (2017). Game Bot Detection in Online Role Player Game through Behavioural Features. In Proceedings of the 12th International Conference on Software Technologies - ICSOFT; ISBN 978-989-758-262-2; ISSN 2184-2833, SciTePress, pages 50-60. DOI: 10.5220/0006417000500060

@conference{icsoft17,
author={Mario Luca Bernardi. and Marta Cimitile. and Fabio Martinelli. and Francesco Mercaldo.},
title={Game Bot Detection in Online Role Player Game through Behavioural Features},
booktitle={Proceedings of the 12th International Conference on Software Technologies - ICSOFT},
year={2017},
pages={50-60},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006417000500060},
isbn={978-989-758-262-2},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Software Technologies - ICSOFT
TI - Game Bot Detection in Online Role Player Game through Behavioural Features
SN - 978-989-758-262-2
IS - 2184-2833
AU - Bernardi, M.
AU - Cimitile, M.
AU - Martinelli, F.
AU - Mercaldo, F.
PY - 2017
SP - 50
EP - 60
DO - 10.5220/0006417000500060
PB - SciTePress