Planet optimization with deep convolutional neural network for lightweight intrusion detection in resource-constrained iot networks

HIGHLIGHTS

• who: Khalid A. Alissa and colleagues from the College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University, POBox, Dammam, Saudi Arabia have published the research work: Planet Optimization with Deep Convolutional Neural Network for Lightweight Intrusion Detection in Resource-Constrained IoT Networks, in the Journal: (JOURNAL) of 13/06/2022
• what: For attaining the research aim, PCA is implied for extracting features. In this article, a new PODCNN-LWID technique is developed for the recognition of intrusions in the IoT network. For ease of visualization, and simplicity of the study, the solar . . .
  

   

  

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