Automated scripts or agents that perform gameplay actions for resource farming, experience gain, or other unfair advantages.
This dossier summarizes the cheat definition, the affected OSI layer, and the evidence attached to the record.
Automated scripts or agents that perform gameplay actions for resource farming, experience gain, or other unfair advantages.
Layer 7 (Application)
Automated scripts or agents that perform gameplay actions for resource farming, experience gain, or other unfair advantages.
Peer-reviewed and academic literature connected to this cheat, with DOI or URL references attached where available.
Mario Luca Bernardi, Marta Cimitile, Fabio Martinelli, Francesco Mercaldo
2018 IEEE International Conference on Fuzzy Systems (FUZZ)
Target: Game bots - AI systems simulating human behavior to obtain advantages like cyber money and popularity
Aim: Bernardi, M. L., Cimitile, M., Martinelli, F., & Mercaldo, F. (2018). An ensemble fuzzy logic approach to game bot detection through behavioural features. In 2018 IEEE International Conference on Fuzzy Systems (FUZZ) (pp. 1-8). IEEE.
Recommendation: (Bernardi et al., 2018)
No external DOI or URL link is attached yet.
Yang-Wai Chow, Willy Susilo, Hua-Yu Zhou
2010 International Conference on Cyberworlds
Target: Botting/automated programs giving unfair advantages, allowing accumulation of wealth/resources/experience without effort
Aim: Chow, Y. W., Susilo, W., & Zhou, H. Y. (2010). CAPTCHA challenges for massively multiplayer online games: Mini-game CAPTCHAs. In 2010 International Conference on Cyberworlds (pp. 254-261). IEEE.
Recommendation: (Chow et al., 2010)
No external DOI or URL link is attached yet.
Md Shihabul Islam, Bo Dong, Swarup Chandra, Latifur Khan, Bhavani Thuraisingham
IEEE Transactions on Dependable and Secure Computing, Vol. 19, No. 2, 2022
Target: Network traffic-based cheating detection, automated cheat detection
Aim: Islam, M. S., Dong, B., Chandra, S., Khan, L., & Thuraisingham, B. (2022). GCI: A GPU-based transfer learning approach for detecting cheats of computer game. IEEE Transactions on Dependable and Secure Computing, 19(2), 804-816.
Recommendation: (Islam et al., 2022)
No external DOI or URL link is attached yet.
Y. Lyhyaoui, A. Lyhyaoui, S. Natkin
IEEE EUROCON Conference 2005
Target: Multiple attack types: cheating against provider, players, and virtual society including AI bots, asset theft, design flaw exploitation
Aim: Lyhyaoui, Y., Lyhyaoui, A., & Natkin, S. (2005). Online games: Categorization of attacks. In EUROCON 2005 - The International Conference on Computer as a Tool (pp. 1340-1343).
Recommendation: (Lyhyaoui et al., 2005)
No external DOI or URL link is attached yet.
Ryan C. McDaniel, Roman V. Yampolskiy
CGAMES Conference 2011
Target: Bot/automated play cheating using computer programs for move calculation
Aim: McDaniel, R. C., & Yampolskiy, R. V. (2011). Embedded non-interactive CAPTCHA for Fischer random chess. In 2011 16th International Conference on Computer Games (CGAMES) (pp. 284-287).
Recommendation: (McDaniel & Yampolskiy, 2011)
No external DOI or URL link is attached yet.
Hsing-Kuo Pao, Kuan-Ta Chen, Hong-Chung Chang
IEEE Transactions on Computational Intelligence and AI in Games, Vol. 2, No. 3, September 2010
Target: Game bots, automated programs, trajectory-based detection
Aim: Pao, H.-K., Chen, K.-T., & Chang, H.-C. (2010). Game bot detection via avatar trajectory analysis. IEEE Transactions on Computational Intelligence and AI in Games, 2(3), 162-175.
Recommendation: (Pao et al., 2010)
No external DOI or URL link is attached yet.
Irene Serrano Vázquez and Mia Consalvo
new media & society Vol. 17(6) 829–844 2015
Target: Social network game cheating including bot usage, unauthorized data access, infrastructure exploitation, creating multiple accounts
Aim: Serrano Vázquez, I., & Consalvo, M. (2015). Cheating in social network games. new media & society, 17(6), 829-844.
Recommendation: (Vasquez and Consalvo, 2013)
No external DOI or URL link is attached yet.
Steven Daniel Webb and Sieteng Soh
DIMEA '07 Perth Western Australia (ACM)
Target: Comprehensive taxonomy including game-level, application-level, protocol-level, and infrastructure-level cheats; bug exploitation, information exposure, bots, denial of service
Aim: Webb, S. D., & Soh, S. (2007). Cheating in networked computer games – A review. In Proceedings of the 2007 Conference on Future Play (pp. 105-112). ACM.
Recommendation: (Webb & Soh, 2007)
No external DOI or URL link is attached yet.
Reviewed white papers and adjacent technical reports approved for this dossier.
Reviewed non-academic sources such as news, forums, archives, or enforcement materials.
Named incidents, documented examples, or sanctions associated with this cheat category.