Sehids: self evolving host-based intrusion detection system for iot networks

HIGHLIGHTS

  • who: Mohammed Baz from the Department of Computer Engineering, College of Computer and Information Technology, Taif University have published the article: SEHIDS: Self Evolving Host-Based Intrusion Detection System for IoT Networks, in the Journal: Sensors 2022, 6505 of 22/06/2022
  • what: The main reason for choosing ANN over other AI approaches, e_g, Support Vector Machine , XGBOOST , or Random Forest , is the wide variety of architectures that can be implemented by ANN. The work presented uses this approach to develop three statistical machine_learning models based on linear regression, multilayer perception (MLP) and Recurrent Neural_Networks . . .

     

    Logo ScioWire Beta black

    If you want to have access to all the content you need to log in!

    Thanks :)

    If you don't have an account, you can create one here.

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?