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Counter-Strike 2 player dedicates Master's thesis to rooting out cheaters, creates grade A player tracking system

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Counter-Strike 2 player dedicates Master's thesis to rooting out cheaters, creates grade A player tracking system

Cheating: it's why we can't have nice things. Whether your online shooter of choice is beset by players targeting you through walls, or you're a Linux user who would definitely be playing more games were it not for kernel-level anti-cheat systems, the actions of a few spoil the fun for many. Banning cheating players is the obvious thing to do, but what's to stop bad eggs making fresh accounts?

A student at the Norwegian University of Science and Technology has a few ideas. Named Christopher B. Didriksen, the student even based his Master's thesis on one possible biometric-based solution. Sharing some of his research findings on Reddit, Didriksen explained that players in Counter-Strike 2 can be differentiated based on how they use their mouse and keyboard in-game. Based on these movements, repeat offenders could then be identified and banned for good.

The researcher analysed a number of 'demos' resulting from competitive CS2 matches. Using the two separate signals from a player's mouse and keyboard during these demos, a 'fingerprint' can be identified that "stays stable across maps, sessions, settings [...] across matches played months apart, and across a sensitivity change from 800 to 640 eDPI." By the sounds of it, you will shine through no matter what bargain bucket peripheral you may use to game.

" Cross-referencing these two metrics identifies the humans behind the accounts with a high rate of accuracy.



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