Aiding Intrusion Analysis Using Machine Learning

@article{Zomlot2013AidingIA,
  title={Aiding Intrusion Analysis Using Machine Learning},
  author={Loai Zomlot and Sathya Chandran Sundaramurthy and Doina Caragea and Xinming Ou},
  journal={2013 12th International Conference on Machine Learning and Applications},
  year={2013},
  volume={2},
  pages={40-47}
}
Intrusion analysis, i.e., the process of combing through IDS alerts and audit logs to identify real successful and attempted attacks, remains a difficult problem in practical network security defense. The major contributing cause to this problem is the high false-positive rate in the sensors used by IDS systems to detect malicious activities. The goal of our work is to examine whether a machine-learned classifier can help a human analyst filter out non-interesting scenarios reported by an IDS… CONTINUE READING

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