Norwegian student's Master's thesis on Counter-Strike 2 cheater detection earns grade A

Christopher B. Didriksen, a student at the Norwegian University of Science and Technology, based his Master's thesis on a biometric system that identifies Counter-Strike 2 players by their mouse and keyboard movements. In a dataset of more than 1,000 players, keyboard use identified the right player 98% of the time, and the method found unreported smurfs. He proposes the system could work alongside Valve Anti-Cheat and Trust Factor, and his thesis received an A.