Researchers develop keystroke biometrics with 95.5% fraud detection accuracy

A team of researchers at BYU have developed a fraud detection keystroke tracking system that correctly identifies when a user types in someone else's information with 95.5 percent accuracy, according to a recent study. Such a system would be able to detect instances of fraud where a bad actor is inputting stolen PII.

The study tested the hypothesis that people develop muscle memory when typing out information that is familiar to them – like their own name and password. Individuals …

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