Corpus ID: 18226230

Robust Support Vector Machines for Anomaly Detection in Computer Security

@inproceedings{Hu2003RobustSV,
  title={Robust Support Vector Machines for Anomaly Detection in Computer Security},
  author={W. Hu and Y. Liao and V. Vemuri},
  booktitle={ICMLA},
  year={2003}
}
  • W. Hu, Y. Liao, V. Vemuri
  • Published in ICMLA 2003
  • Computer Science
  • Using the 1998 DARPA BSM data set collected at MIT’s Lincoln Labs to study intrusion detection systems, the performance of robust support vector machines (RVSMs) was compared with that of conventional support vector machines and nearest neighbor classifiers in separating normal usage profiles from intrusive profiles of computer programs. [...] Key Result The results indicate the superiority of RSVMs not only in terms of high intrusion detection accuracy and low false positives but also in terms of their…Expand Abstract
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