Researcher develops method for fingerprinting cheaters using Counter-Strike mouse and keyboard input patterns
u/Magga_ built a method that identified players by looking at how they use their mouse and keyboard. They can then use this to ensure that bans follow cheaters, even if they make new accounts from another device.
A Norwegian master's student created a fingerprinting technique for identifying cheaters in Counter-Strike based on mouse and keyboard input patterns. u/Magga_ tested the method on over a thousand gamers and found it could correctly identify unique players 100% of the time from mouse data, and 98% of the time from keyboard data.
Combining both methods increased accuracy. However, the researcher noted privacy concerns and the possibility of false positives, as unrelated people might share similar play styles. Even so, u/Magga_ claimed the system isn't merely a proof of concept but a working solution designed to handle massive amounts of data. They also highlighted limitations, such as the inability to handle shared accounts, and the potential consequences of implementing such anti-cheat measures, including privacy violations and false bans.
Written by urgent.news from Tom's Hardware's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
