Applied and Computational Engineering

- The Open Access Proceedings Series for Conferences


Proceedings of the 3rd International Conference on Signal Processing and Machine Learning

Series Vol. 5 , 31 May 2023


Open Access | Article

A never ending warfare: Fighting cheaters in online video game

Alexander Zhou * 1
1 Sentinel Secondary School, West Vancouver, V7S 2R2, Canada

* Author to whom correspondence should be addressed.

Applied and Computational Engineering, Vol. 5, 34-39
Published 31 May 2023. © 2023 The Author(s). Published by EWA Publishing
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citation Alexander Zhou. A never ending warfare: Fighting cheaters in online video game. ACE (2023) Vol. 5: 34-39. DOI: 10.54254/2755-2721/5/20230525.

Abstract

As the gaming industry gradually expands, more and more people begin taking notice of the industry. Though with blossom, problems emerge. Many people don’t want to take the time to master a video game, so some will then resort to cheating. This is terrible news for developers as it ruins their reputation and player base. This paper will lay the groundwork for anyone interested in the industry on what has already been done to fight cheaters, as little research was conducted. This paper, will introduce the modern online connection architecture, categorize the most common cheats, and most importantly, introduce modern-day anti-cheat methods. The anti-cheat methods will be analyzed on their effectiveness on different online connection architecture and the type of cheat it works against. Lastly, the paper will also introduce the idea of kernel-level and its impact on anti-cheat.

Keywords

Cyber security, online connection, anti-cheat, kernel-level, video games.

References

1. “What Is Vanguard? – Valorant Support.” VALORANT Support, Riot Game, Inc, https://support-valorant.riotgames.com/hc/en-us/articles/360046160933-What-is-Vanguard-.

2. Chamberlain, Paul. “Valorant Anti-Cheat: Cheater, Reported!” VALORANT, Riot Games, Inc., 31 Aug. 2020, https://playvalorant.com/en-gb/news/dev/valorant-anti-cheat-cheater-reported/.

3. Ronkainen, Waranyoo. "Prevention vs Detection in Online Game Cheating." (2021).

4. “What Is Nvidia GeForce Now?” NVIDIA, https://www.nvidia.com/en-us/geforce-now/faq/.

5. Lehtonen, Samuli Johannes. "Comparative Study of Anti-cheat Methods in Video Games." (2020).

6. Spijkerman, Ruan, and Elizabeth Marie Ehlers. "Cheat Detection in a Multiplayer First-Person Shooter Using Artificial Intelligence Tools." 2020 The 3rd International Conference on Computational Intelligence and Intelligent Systems. 2020.

7. “What Is a Distributed Denial-of-Service (Ddos) Attack? - Cloudflare.” Cloudflare, https://www.cloudflare.com/learning/ddos/what-is-a-ddos-attack/.

8. Aviviano. “User Mode and Kernel Mode - Windows Drivers.” Windows Drivers | Microsoft Docs, 14 Dec. 2021, https://docs.microsoft.com/en-us/windows-hardware/drivers/gettingstarted/user-mode-and-kernel-mode.

9. Aviviano. “Virtual Address Spaces - Windows Drivers.” Windows Drivers | Microsoft Docs, 14 Dec. 2021, https://docs.microsoft.com/en-us/windows-hardware/drivers/gettingstarted/virtual-address-spaces.

10. “Difference between User Mode and Kernel Mode.” GeeksforGeeks, 4 July 2022, https://www.geeksforgeeks.org/difference-between-user-mode-and-kernel-mode/.

11. Koskinas, Phil. “/Dev/Null: Anti-Cheat Kernel Driver - League of Legends.” /Dev/Null: Anti-Cheat Kernel Driver - League of Legends, 3 Feb. 2020, https://www.leagueoflegends.com/en-us/news/dev/dev-null-anti-cheat-kernel-driver/.

12. Auriemma, Luigi, and Donato Ferrante. MULTIPLAYER ONLINE GAMES INSECURITY. p. 16.

Data Availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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Volume Title
Proceedings of the 3rd International Conference on Signal Processing and Machine Learning
ISBN (Print)
978-1-915371-57-7
ISBN (Online)
978-1-915371-58-4
Published Date
31 May 2023
Series
Applied and Computational Engineering
ISSN (Print)
2755-2721
ISSN (Online)
2755-273X
DOI
10.54254/2755-2721/5/20230525
Copyright
© 2023 The Author(s)
Open Access
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

Copyright © 2023 EWA Publishing. Unless Otherwise Stated