University of Texas at Dallas (UT Dallas) computer scientists developed a countermeasure against video game cheaters.
Previous research depended on decrypted game logs to spot cheating after the fact, while the UT Dallas team's approach analyzes encrypted data traffic to and from a central server in real time.
Twenty UT Dallas students downloaded the Counter-Strike game and three software cheats. Researchers monitoring their data traffic identified patterns indicating cheating; that data was fed to a machine learning model to train it to predict cheating.
The researchers said they have adjusted their model to work on larger populations of gamers.
From UT Dallas News Center
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