The optimized extreme learning machine (ga-oelm) for ddos attack detection in cloud environment

HIGHLIGHTS

• What: The authors propose an Optimized Extreme Learning Machine based on Genetic Algorithm (GA-OELM) for detecting DDoS attack patterns. The experiment is evaluated using three datasets namely CICDDOS2019 NSL-KDD and UNSW-NB15 and proves that the detection performance of the proposed GA-OELM is better than the classic ELM model and some state of art techniques. The performance of the model is assessed on 15097 samples of the KDD-NSL dataset and compared to the BPNN model with 20 neurons. To achieve this, the authors propose an improved GA to optimize the hyperparameters of the . . .
  

   

  

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