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CS2 player completes master's thesis on system that fingerprints cheaters by mouse and keyboard habits to make bans follow across accounts

A Counter-Strike 2 player has completed a master's thesis on a system designed to make bans follow cheaters across accounts by identifying players through their unique mouse and keyboard habits, according to Dexerto. Tom's Hardware later reported the same work as a method for fingerprinting cheaters using Counter-Strike mouse and keyboard input patterns. The researcher is not named in the available evidence, but a photo shows the player presenting at a lectern labeled NTNU Gjøvik, the Norwegian University of Science and Technology's Gjøvik campus.

A Counter-Strike 2 player has completed a master's thesis on a system designed to make bans follow cheaters across accounts by identifying players through their unique mouse and keyboard habits, according to Dexerto. Tom's Hardware later reported the same work as a method for fingerprinting cheaters using Counter-Strike mouse and keyboard input patterns. The researcher is not named in the available evidence, but a photo shows the player presenting at a lectern labeled NTNU Gjøvik, the Norwegian University of Science and Technology's Gjøvik campus.

Key facts

  • A Counter-Strike 2 player completed a master's thesis on a system designed to make bans follow cheaters across accounts, according to Dexerto.
  • The system identifies players based on their unique mouse and keyboard habits, according to Dexerto.
  • Tom's Hardware reported the work as a method for fingerprinting cheaters using Counter-Strike mouse and keyboard input patterns.
  • A photo attached to the Dexerto post shows the player presenting at a lectern labeled NTNU Gjøvik, the Norwegian University of Science and Technology's Gjøvik campus.
  • The researcher's name is not given in the available evidence.

Sources · 2 sources

  1. TH

    Tom's Hardware@tomshardwarePost on X ·

    Researcher develops method for fingerprinting cheaters using Counter-Strike mouse and keyboard input patterns https://t.co/jIaxUeYZDM

    Open source
  2. DE

    Dexerto@DexertoPost on X ·

    A CS2 player completed his master's thesis on a system designed to make bans follow cheaters across accounts It identifies players based on their unique mouse and keyboard habits https://t.co/I8VHUOsKSQ

    Open source