GoKawiilNorwegian researcher creates fingerprinting method to identify Counter-Strike players via input patterns
A master's student from the Norwegian University of Science and Technology developed a technique that can uniquely identify gamers based on their mouse and keyboard input signals. By analyzing data from over a thousand players, the method achieved 100% accuracy with mouse patterns and 98% with keyboard signals, even linking multiple accounts to a single individual. The approach uncovered previously unknown account connections, highlighting its potential for player identification.