Cheat dossier

Aimbots/Aimlock/Triggerbots

Software that automatically aims at targets, locks onto enemies, or fires weapons.

Overview

Classification

This dossier summarizes the cheat definition, the affected OSI layer, and the evidence attached to the record.

7 Academic articles
0 Linked evidence
0 Known cases
Dossier Facts

Definition

Software that automatically aims at targets, locks onto enemies, or fires weapons.

What OSI Layer This Cheat Affects

Layer 7 (Application)

Other Information

Software that automatically aims at targets, locks onto enemies, or fires weapons.

Academic Evidence

Supporting Academic Articles

Peer-reviewed and academic literature connected to this cheat, with DOI or URL references attached where available.

"Is It Legit, To You?". An Exploration of Players' Perceptions of Cheating in a Multiplayer Video Game: Making Sense of Uncertainty

Arianna Boldi, Amon Rapp

International Journal of Human–Computer Interaction, 2024, Vol. 40, No. 15, 4021-4041

Target: Third-party software cheats (wallhacks, aimbots, aimlock), game glitch exploitation, technological advantages (VPNs, expensive hardware)

Aim: Boldi, A., & Rapp, A. (2024). "Is It Legit, To You?". An Exploration of Players' Perceptions of Cheating in a Multiplayer Video Game: Making Sense of Uncertainty. International Journal of Human–Computer Interaction, 40(15), 4021-4041.

Recommendation: (Boldi & Rapp, 2024)

No external DOI or URL link is attached yet.

Cheating in E-Sports: A Proposal to Regulate the Growing Problem of E-Doping

Jamie Hwang

Northwestern University Law Review, Vol. 116, No. 5, 2022

Target: E-doping (software hacks, cheats, digital doping, mechanical doping)

Aim: Hwang, J. (2022). Cheating in E-Sports: A proposal to regulate the growing problem of e-doping. Northwestern University Law Review, 116(5), 1283-1318.

Recommendation: (Hwang, 2022)

No external DOI or URL link is attached yet.

GAN-Aimbots: Using Machine Learning for Cheating in First Person Shooters

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.

Redefining the risks of kernel-level anti-cheat in online gaming

Anton Maario, Vinod Kumar Shukla, A. Ambikapathy, Purushottam Sharma

IEEE SPIN Conference 2021

Target: Multiple cheat types: aimbot, triggerbot, wallhack, ESP, mobility hacks, hardware cheats

Aim: Maario, A., Shukla, V. K., Ambikapathy, A., & Sharma, P. (2021). Redefining the risks of kernel-level anti-cheat in online gaming. In 2021 8th International Conference on Signal Processing and Integrated Networks (SPIN) (pp. 676-680).

Recommendation: (Maario et al., 2021)

No external DOI or URL link is attached yet.

Detecting Cheating in Computer Games using Data Mining Methods

Alexandre Philbert

American Journal of Computer Science and Information Technology, Vol. 6, No. 3, 2018

Target: Signature-based cheats, metamorphic/polymorphic cheats, malicious executables, aimbot, wall hack, no recoil, radar hack

Aim: Philbert, A. (2018). Detecting cheating in computer games using data mining methods. American Journal of Computer Science and Information Technology, 6(3), 26.

Recommendation: (Philbert, 2018)

No external DOI or URL link is attached yet.

Deep learning and multivariate time series for cheat detection in video games

José Pedro Pinto, André Pimenta, Paulo Novais

Machine Learning Journal, Vol. 110, pp. 3037-3057, 2021

Target: Triggerbot and aimbot cheats, human-computer interaction data manipulation, keystroke and mouse movement analysis

Aim: Pinto, J. P., Pimenta, A., & Novais, P. (2021). Deep learning and multivariate time series for cheat detection in video games. Machine Learning, 110(11), 3037-3057.

Recommendation: (Pinto et al., 2021)

No external DOI or URL link is attached yet.

A statistical aimbot detection method for online FPS games

Su-Yang Yu, Nils Hammerla, Jeff Yan, Peter Andras

2012 International Joint Conference on Neural Networks (IJCNN)

Target: Aiming robot (aimbot) - automatic target acquisition and retention tools

Aim: Yu, S. Y., Hammerla, N., Yan, J., & Andras, P. (2012). A statistical aimbot detection method for online FPS games. In 2012 International Joint Conference on Neural Networks (IJCNN) (pp. 1-8). IEEE.

Recommendation: (Yu et al., 2012)

No external DOI or URL link is attached yet.

White Papers

Supporting or Related White Papers

Reviewed white papers and adjacent technical reports approved for this dossier.

No approved white papers are linked to this dossier yet.
OSINT Sources

Other Approved OSINT Sources

Reviewed non-academic sources such as news, forums, archives, or enforcement materials.

No other approved OSINT sources are linked to this dossier yet.
Cases

Known Cases

Named incidents, documented examples, or sanctions associated with this cheat category.

No known cases are linked to this dossier yet.