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Gaming Bot Detection: A Systematic Literature Review

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Computational Data and Social Networks (CSoNet 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11280))

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Abstract

In online games, some players employ programs (bots) that allow them to bypass game routines and effortlessly gain virtual resources. This practice leads to negative effects, such as reduced revenue for the game development companies and unfair treatment for ordinary players. Bot detection methods act as a counter measure for such players. This paper presents a systematic literature review of bot detection in online games. We mainly focus on games that allow resource accumulation for players between game sessions. For this, we summarize the existing literature, list categories of games ignored by the scientific community, review publicly available datasets, present the taxonomy of detection methods and provide future directions on this topic. The main goal of this paper is to summarize the existing literature and indicate gaps in the body of knowledge.

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Notes

  1. 1.

    https://www.g2g.com/wow-us/Item-2299-19260.

  2. 2.

    http://www.sikuli.org/.

  3. 3.

    https://www.ea.com/games/bejeweled/bejeweled-blitz?setLocale=en-us.

  4. 4.

    https://www.raccoonbot.com/.

  5. 5.

    https://mybot.run/forums/.

  6. 6.

    https://wrobot.eu/store/category/2-wrobot/.

  7. 7.

    https://wrobot.eu/.

  8. 8.

    https://scholar.google.com/.

  9. 9.

    https://www.tsv.fi/julkaisufoorumi/haku.php?lang=en.

  10. 10.

    https://worldofwarcraft.com/en-us/.

  11. 11.

    https://www.joy.land/super-mario-bros.html.

  12. 12.

    http://www.syberia.microids.com/EN/.

  13. 13.

    https://starcraft.com/en-us/.

  14. 14.

    https://www.guitarhero.com/.

  15. 15.

    https://quake.bethesda.net/en.

  16. 16.

    http://www.mortalkombat.com/.

  17. 17.

    https://tetris.com/.

  18. 18.

    https://www.casinotop10.net/free-roulette.

  19. 19.

    https://supercell.com/en/games/clashroyale/.

  20. 20.

    https://toucharcade.com/2017/08/29/clash-royale-saw-27-million-players-enter-its-crown-championship-fall-season/.

  21. 21.

    http://clashroyalebot.com.br/.

  22. 22.

    http://planetquake.gamespy.com/.

  23. 23.

    http://q2scene.net/ds/.

  24. 24.

    http://ocslab.hksecurity.net/Datasets/game-bot-detection.

  25. 25.

    https://supercell.com/en/games/clashofclans/.

  26. 26.

    https://www.raccoonbot.com/.

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Authors and Affiliations

  1. University of Jyvaskyla, Faculty of Information Technology, P.O. Box 35, FI-40014, Jyvaskyla, Finland

    Denis Kotkov, Gaurav Pandey & Alexander Semenov

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  1. Denis Kotkov
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  2. Gaurav Pandey
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  3. Alexander Semenov
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Correspondence to Alexander Semenov .

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Editors and Affiliations

  1. Texas Southern University, Houston, TX, USA

    Xuemin Chen

  2. Ira A. Fulton School of Engineering, Tempe, AZ, USA

    Arunabha Sen

  3. Texas Southern University, Houston, TX, USA

    Wei Wayne Li

  4. University of Florida, Gainesville, AL, USA

    My T. Thai

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Kotkov, D., Pandey, G., Semenov, A. (2018). Gaming Bot Detection: A Systematic Literature Review. In: Chen, X., Sen, A., Li, W., Thai, M. (eds) Computational Data and Social Networks. CSoNet 2018. Lecture Notes in Computer Science(), vol 11280. Springer, Cham. https://doi.org/10.1007/978-3-030-04648-4_21

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  • DOI: https://doi.org/10.1007/978-3-030-04648-4_21

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