Using artificial intelligence or computer vision to identify and target opponents.
This dossier summarizes the cheat definition, the affected OSI layer, and the evidence attached to the record.
Using artificial intelligence or computer vision to identify and target opponents.
Layer 7 (Application)
Using artificial intelligence or computer vision to identify and target opponents.
Peer-reviewed and academic literature connected to this cheat, with DOI or URL references attached where available.
Huang Jiayu & Liu Aofan
2024 International Conference on Advancements in Smart Secure and Intelligent Computing (ASSIC)
Target: Automated aiming using computer vision, aimbot technology
Aim: Jiayu, H., & Aofan, L. (2024). FPS killer - A moving target detection algorithm in FPS game based on Yolov3 frame and gradient descent algorithm. In 2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC).
Recommendation: (Jiayu & Aofan, 2024)
No external DOI or URL link is attached yet.
Aditya Jonnalagadda, Iuri Frosio, Seth Schneider, Morgan McGuire, Joohwan Kim
Proceedings of the ACM on Computer Graphics and Interactive Techniques, Vol. 4, No. 1, 2021
Target: Visual hacks, wallhacks, aimbot assistance, extrasensory perception cheats
Aim: Jonnalagadda, A., Frosio, I., Schneider, S., McGuire, M., & Kim, J. (2021). Robust vision-based cheat detection in competitive gaming. Proceedings of the ACM on Computer Graphics and Interactive Techniques, 4(1), Article 7.
Recommendation: (Jonnalagadda et al., 2021)
No external DOI or URL link is attached yet.
Anssi Kanervisto and Tomi Kinnunen and Ville Hautamäki
IEEE Transactions on Games Vol. 15 No. 4 December 2023
Target: Machine learning-based aimbots using Generative Adversarial Networks (GANs), human-like cheating behavior generation
Aim: Kanervisto, A., Kinnunen, T., & Hautamäki, V. (2023). GAN-Aimbots: Using machine learning for cheating in first person shooters. IEEE Transactions on Games, 15(4), 566-579.
Recommendation: (Kanervisto et al., 2023)
No external DOI or URL link is attached yet.
Chang Liu, Zichun Gao, Zhenyu Liao, Yue Sun, Xianglong Feng
IEEE SCIS&ISIS Conference 2024
Target: Computer vision-based cheating using human pose estimation for aimbots
Aim: Liu, C., Gao, Z., Liao, Z., Sun, Y., & Feng, X. (2024). An exploration of human pose estimation based cheating tools for FPS video game and its defense solution. In 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems.
Recommendation: (Liu et al., 2024)
No external DOI or URL link is attached yet.
Ken Matsuhira, Shun Hattori, Wataru Sunayama
IEEE SCIS&ISIS Conference 2024
Target: Computer vision-based cheating using object detection algorithms for aimbots
Aim: Matsuhira, K., Hattori, S., & Sunayama, W. (2024). Effects of adversarial patches against object detection on combating cheats in online first person shooter games. In 2024 Joint 13th International Conference on Soft Computing and Intelligent Systems.
Recommendation: (Matsuhira et al., 2024)
No external DOI or URL link is attached yet.
Anh Nhu, Hieu Phan, Chang Liu, Xianglong Feng
IEEE IPCCC Conference 2023
Target: Computer vision-based cheating using object detection algorithms for automated aiming
Aim: Nhu, A., Phan, H., Liu, C., & Feng, X. (2023). A comprehensive defense approach targeting the computer vision based cheating tools in FPS video games. In 2023 IEEE International Performance, Computing, and Communications Conference (IPCCC) (pp. 168-177).
Recommendation: (Nhu et al., 2023)
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.