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Published on 5 July 2024
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Chen,M. (2024). AI cheating versus AI anti-cheating: A technological battle in game. Applied and Computational Engineering,73,222-227.
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AI cheating versus AI anti-cheating: A technological battle in game

Mingtao Chen *,1,
  • 1 South China Agricultural University

* Author to whom correspondence should be addressed.

https://doi.org/10.54254/2755-2721/73/20240402

Abstract

Before AI (Artificial Intelligence) became popular, the way people cheated in video games was easily detected. However, everything changed when some cheaters found that AI could be used in cheating. When AI cheating replaces traditional cheating and becomes a popular cheating method, AI anti-cheating rises to the occasion. This paper presents the difference between AI cheating and traditional cheating, how AI cheating works use the YOLO (you only look once) , a model to achieve object detection as an example), and the differences between normal anti-cheating systems and AI anti-cheating. Through Python, the author built the basic cheating system and comprehended how the cheating system works by image recognition. In conclusion, building the anti-cheating system is harder than building the cheating system, because the cost of resources and the engineering difficulty are more and harder than the cheating system. That is the reason why the game company still uses the traditional anti-cheating system in now a day.

Keywords

AI Cheating, AI Anti-Cheating, Artificial Intelligence (AI)

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Cite this article

Chen,M. (2024). AI cheating versus AI anti-cheating: A technological battle in game. Applied and Computational Engineering,73,222-227.

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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About volume

Volume title: Proceedings of the 2nd International Conference on Software Engineering and Machine Learning

Conference website: https://www.confseml.org/
ISBN:978-1-83558-503-0(Print) / 978-1-83558-504-7(Online)
Conference date: 15 May 2024
Editor:Stavros Shiaeles
Series: Applied and Computational Engineering
Volume number: Vol.73
ISSN:2755-2721(Print) / 2755-273X(Online)

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