ATLANTIC: A framework for anomaly traffic detection, classification, and mitigation in SDN

@article{Silva2016ATLANTICAF,
  title={ATLANTIC: A framework for anomaly traffic detection, classification, and mitigation in SDN},
  author={Anderson Santos da Silva and Juliano Araujo Wickboldt and Lisandro Zambenedetti Granville and Alberto E. Schaeffer Filho},
  journal={NOMS 2016 - 2016 IEEE/IFIP Network Operations and Management Symposium},
  year={2016},
  pages={27-35}
}
Anomaly traffic detection and classification mechanisms need to be flexible and easy to manage in order to detect the ever growing spectrum of anomalies. Detection and classification are difficult tasks because of several reasons, including the need to obtain an accurate and comprehensive view of the network, the ability to detect the occurrence of new attack types, and the need to deal with misclassification. In this paper, we argue that Software-Defined Networking (SDN) form propitious… CONTINUE READING
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