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Automated scripts or agents that perform gameplay actions for resource farming, experience gain, or other unfair advantages.

Application-Level Webb and Soh Layer 7 (Application) Counted as e-doping 8 articles 0 evidence links
Application-Level Counted as e-doping

Game Bots/Botting

Definition: Automated scripts or agents that perform gameplay actions for resource farming, experience gain, or other unfair advantages.

What OSI Layer This Cheat Affects: Layer 7 (Application)

Other Information: Automated scripts or agents that perform gameplay actions for resource farming, experience gain, or other unfair advantages.

Supporting Academic Articles

An Ensemble Fuzzy Logic Approach to Game Bot Detection through Behavioural Features

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)

CAPTCHA Challenges for Massively Multiplayer Online Games: Mini-game CAPTCHAs

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)

GCI: A GPU-Based Transfer Learning Approach for Detecting Cheats of Computer Game

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)

Online Games: Categorization of Attacks

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)

Embedded Non-Interactive CAPTCHA for Fischer Random Chess

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)

Game Bot Detection via Avatar Trajectory Analysis

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)

Cheating in social network games

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)

Cheating in networked computer games – A review

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)

Supporting or Related White Papers

No approved white papers are linked to this cheat yet.

Other Approved OSINT Sources

No other approved OSINT sources are linked to this cheat yet.

Known Cases

No known cases are linked to this cheat yet.