A never ending warfare: Fighting cheaters in online video game

Alexander Zhou

doi:10.54254/2755-2721/5/20230525

Research Article

Open access

Published on 31 May 2023

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Zhou,A. (2023). A never ending warfare: Fighting cheaters in online video game. Applied and Computational Engineering,5,34-39.

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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.

https://doi.org/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.

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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.

Cite this article

Zhou,A. (2023). A never ending warfare: Fighting cheaters in online video game. Applied and Computational Engineering,5,34-39.

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

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About volume

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

Conference website: http://www.confspml.org

ISBN：978-1-915371-57-7(Print) / 978-1-915371-58-4(Online)

Conference date: 25 February 2023

Editor：Omer Burak Istanbullu

Series: Applied and Computational Engineering

Volume number: Vol.5

ISSN：2755-2721(Print) / 2755-273X(Online)

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