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General research focused on identifying, detecting, or preventing cheating behaviors.

Application-Level Webb and Soh Layer 7 (Application) Adjacent integrity issue 2 articles 0 evidence links

Application-Level Adjacent integrity issue

Detection & Security Research

Definition: General research focused on identifying, detecting, or preventing cheating behaviors.

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

Other Information: General research focused on identifying, detecting, or preventing cheating behaviors.

Supporting Academic Articles

Robust Vision-Based Cheat Detection in Competitive Gaming

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)

Improvement of Online Game Anti-Cheat System based on Deep Learning

Qinghao Zhang

2021 2nd International Conference on Information Science and Education (ICISE-IE)

Target: Packet cheating (server deception), RAM cheating (memory modification), traditional anti-cheat system limitations

Aim: Zhang, Q. (2021). Improvement of online game anti-cheat system based on deep learning. In 2021 2nd International Conference on Information Science and Education (ICISE-IE) (pp. 652-655). IEEE.

Recommendation: (Zhang, 2021)

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.