Fact · Typing and writing speed
The Carnegie Mellon keystroke study released its data and evaluation method, so other researchers can compare detectors on the same dataset.
Checked against its source on October 16, 2026
In the source's own words
“along with the shared data and evaluation methodology”
Comparing Anomaly-Detection Algorithms for Keystroke Dynamics, Kevin S. Killourhy and Roy A. Maxion, Carnegie Mellon University, Dependable Systems Laboratory, 2009, Abstract.
Open the original- What it measures
- The paper's stated aim was a benchmark that lets detectors be compared soundly.
- What it does not show
- Shared data for a single password; other datasets may not be released.