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Detecting cheaters who utilise third-party software to gain an advantage in multiplayer video games
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
2019 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Playing video games are meant to be a fun experience but something that has been proven to ruin the experience are cheaters, maybe even more so in events such as tournaments where money is involved. Even if anti-cheating software exists there also exists a research gap in the subject of cheat detection. And regarding cheat detection the question that matters the most is: how do you even detect a player that is using 3rd-party software to gain an unfair advantage in online video games? To find a solution for this problem a systematic literature review was made were data was extracted from articles relevant for the subject and summarised into results. From the results, a few elementary concepts regarding cheat detection are introduced and analysed with comparisons to the problem statement. Finally, five different types of cheat detection are shown that work by analysing objects such as behaviour, game state or memory.

Place, publisher, year, edition, pages
2019. , p. 44
Keywords [en]
Cheat detection, Secondary research, Video games
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:lnu:diva-84878OAI: oai:DiVA.org:lnu-84878DiVA, id: diva2:1322397
Educational program
Software Development and Operations, 180 credits
Supervisors
Examiners
Available from: 2019-06-12 Created: 2019-06-10 Last updated: 2019-06-12Bibliographically approved

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fulltext(831 kB)25 downloads
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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
  • Other style
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  • de-DE
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Output format
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