A lightweight deep autoencoder scheme for cyberattack detection in the internet of things

HIGHLIGHTS

• who: Jawad Ahmad from the Information Systems Department, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia have published the research work: A Lightweight Deep Autoencoder Scheme for Cyberattack Detection in the Internet of Things, in the Journal: (JOURNAL)
• what: In this article, a lightweight deep autoencoder (DAE) scheme is presented for cyberattack detection in IoT networks. One of the primary objectives for developing the suggested DAE framework is to minimize the model`s overall complexity by reducing the number of operations. F1 Score=2 Precision Recall Precision - Recall 4 Implementation and . . .
  

   

  

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