User Recognition by Keystroke Latency Pattern Analysis

@inproceedings{Song1990UserRB,
  title={User Recognition by Keystroke Latency Pattern Analysis},
  author={D. Song and Peter Venable and Adrian Perrig and April},
  year={1990}
}
  • D. Song, Peter Venable, +1 author April
  • Published 1990
We analyze keystroke latency patterns to identify the person typing on the keyboard. Unlike previous work in this domain, which focused on taking one reference sample and doing user authentication based on the reference sample only, we continuously sample user input and use the data for identi cation and further learning and re nement of the user model. 
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