Review of anomaly detection systems in industrial control systems using deep feature learning approach

HIGHLIGHTS

• who: Raogo Kabore et al. from the Lab-STICC, IMT-Atlantique, Brest, France have published the research work: Review of Anomaly Detection Systems in Industrial Control Systems Using Deep Feature Learning Approach, in the Journal: (JOURNAL)
• what: DOI: 10.4236/eng.2021.131003 Engineering However, the approach proposed by_[23] gives promising results in feature learning and good detection rate for some classes of attacks detection.
• how: The last step of the process is a classification and testing step where a test dataset is presented to the fine-tuned network to assess the . . .
  

   

  

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