Researcher develops method for fingerprinting cheaters using Counter-Strike mouse and keyboard input patterns
What happened
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 master’s student from the Norwegian University of Science and Technology developed a fingerprinting technique that identified gamers from their mouse and keyboard input patterns as part of their thesis. u/Magga_ shared the results of their study on the r/GlobalOffensive subreddit , where they tracked the mouse and keyboard signals from more than a thousand players and then correlated them to each other.
Using this technique, they were able to fingerprint unique users and match them to specific accounts, even those that used multiple smurf accounts. Since both metrics measure entirely different movements, combining them makes for highly accurate detection.
Sources & evidence
- Tom's Hardware Reporting source
Researcher develops method for fingerprinting cheaters using Counter-Strike mouse and keyboard input patterns ↗
https://www.tomshardware.com/video-games/pc-gaming/researcher-develops-method-for-fingerprinting-cheaters-using-counter-strike-mouse-and-keyboard-input-patterns-says-technique-can-be-used-so-bans-follow-users-even-if-they-make-new-accounts