An Adaptive Approach to Granular Real-Time Anomaly Detection

@article{Huang2009AnAA,
  title={An Adaptive Approach to Granular Real-Time Anomaly Detection},
  author={Chin-Tser Huang and Jeff Janies},
  journal={EURASIP J. Adv. Sig. Proc.},
  year={2009},
  volume={2009}
}
Anomaly-based intrusion detection systems have the ability to detect novel attacks, but when applied in real-time detection, they face the challenges of producing many false alarms and failing to match with the high speed of modern networks due to their computationally demanding algorithms. In this paper, we present Fates, an anomaly-based NIDS designed to… CONTINUE READING