An intrusion detection system for sdn using machine learning

HIGHLIGHTS

• who: G. Logeswari from the Department of Computer and Engineering, College of Engineering, Guindy, Anna University, Chennai, Tamilnadu, India have published the article: An Intrusion Detection System for SDN Using Machine Learning, in the Journal: (JOURNAL)
• what: In this paper a novel HFS-LGBM IDS is proposed for SDN. In this paper, the proposed HFS- LGBM method is compared with the other feature selection algorithms such as chi, information gain, correlation based feature selection.
• how: In this approach the NSL-KDD dataset is employed to train and optimize the model for detecting anomalous . . .
  

   

  

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