Network anomaly detection using autonomous system flow aggregates

  title={Network anomaly detection using autonomous system flow aggregates},
  author={Thienne Johnson and Loukas Lazos},
  journal={2014 IEEE Global Communications Conference},
Detecting malicious traffic streams in modern computer networks is a challenging task due to the growing traffic volume that must be analyzed. Traditional anomaly detection systems based on packet inspection face a scalability problem in terms of computational and storage capacity. One solution to this scalability problem is to analyze traffic based on IP flow aggregates. However, IP aggregates can still result in prohibitively large datasets for networks with heavy traffic loads. In this paper… CONTINUE READING


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