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2021 | OriginalPaper | Chapter

Detecting Video-Game Injectors Exchanged in Game Cheating Communities

Authors : Panicos Karkallis, Jorge Blasco, Guillermo Suarez-Tangil, Sergio Pastrana

Published in: Computer Security – ESORICS 2021

Publisher: Springer International Publishing

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Abstract

The chapter delves into the intricate world of video game cheating, focusing on two major online communities dedicated to sharing and trading cheats. It employs social data science techniques and binary analysis to understand the structure, actors, and types of cheats involved. The study highlights the importance of cheat injectors and presents a machine learning classifier capable of detecting these injectors with high accuracy. The analysis also covers the demographics and marketplace activities of cheat providers, shedding light on the financial incentives and social dynamics within these communities. The chapter concludes with a discussion of the limitations and potential future work in this area, emphasizing the importance of continuous monitoring and adaptation in the fight against game cheating.
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Metadata
Title
Detecting Video-Game Injectors Exchanged in Game Cheating Communities
Authors
Panicos Karkallis
Jorge Blasco
Guillermo Suarez-Tangil
Sergio Pastrana
Copyright Year
2021
Book
Computer Security – ESORICS 2021

Print ISBN: 978-3-030-88417-8

Electronic ISBN: 978-3-030-88418-5

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-88418-5_15

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