An efficient intrusion detection framework for industrial internet of things security

HIGHLIGHTS

  • who: Walid El-Shafai from the Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, POBox, Riyadh, Saudi Arabia have published the Article: An Efficient Intrusion Detection Framework for Industrial Internet of Things Security, in the Journal: (JOURNAL)

SUMMARY

    In the last years, many machine_learning (ML) approaches have been commonly used for detecting and classifying malicious attacks against network infrastructure in an automatic fashion. Few present studies have indicated the detailed performance analysis of several machine_learning algorithms on a dataset for a realistic representation of medium-scale . . .

     

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