• Computer Science
  • Published 2005

Real-time analysis of aggregate network traffic for anomaly detection

@inproceedings{Kim2005RealtimeAO,
  title={Real-time analysis of aggregate network traffic for anomaly detection},
  author={Seong Soo Kim},
  year={2005}
}
The frequent and large-scale network attacks have led to an increased need for developing techniques for analyzing network traffic. If efficient analysis tools were available, it could become possible to detect the attacks, anomalies and to appropriately take action to contain the attacks before they have had time to propagate across the network. In this dissertation, we suggest a technique for traffic anomaly detection based on analyzing the correlation of destination IP addresses and… CONTINUE READING

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