Ml-ddosnet: iot intrusion detection based on denial-of-service attacks using machine learning methods and nsl-kdd

HIGHLIGHTS

• who: Mona Esmaeili et al. from the Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, USA have published the research work: ML-DDoSnet: IoT Intrusion Detection Based on Denial-of-Service Attacks Using Machine Learning Methods and NSL-KDD, in the Journal: Wireless Communications and Mobile Computing of 21/08/2022
• what: This study examines metainnovations using deep learning-based IDS. The study by Zheng et_al proposes a detailed visual reasoning model as a theoretical and experimental basis for introducing different levels of knowledge representation into deep learning. Each layer in . . .
  

   

  

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