Hidden Markov Models for Human/Computer Interface Modeling

@inproceedings{Lane1999HiddenMM,
  title={Hidden Markov Models for Human/Computer Interface Modeling},
  author={Terran Lane},
  year={1999}
}
Automated modeling of human behaviors is useful in the computer security domain of anomaly detection. In the user modeling facet of the anomaly detection domain, the task is to develop a model or pro le of the normal working state of a computer system user and to detect anomalous conditions as deviations from expected behavior patterns. In this paper, we examine the use of hidden Markov models (HMMs) as user pro les for the anomaly detection task. We formulate a user identity classi cation… CONTINUE READING
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