Lightweight internet of things botnet detection using one-class classification

HIGHLIGHTS

• who: Kainat Malik et al. from the Department of Computer Science, COMSATS University Islamabad, Abbottabad, PakistanFaculty of Computing and Informatics, University Malaysia Sabah, Kota Kinabalu, Malaysia have published the research: Lightweight Internet of Things Botnet Detection Using One-Class Classification, in the Journal: Sensors 2022, 3646 of /2022/
• what: This paper proposes a model that offers a lightweight solution to detect anomalous behavior in resource-constrained IoT devices.
• how: This paper proposes classifier-based machine-learning solution for the detection of IoT botnets in a heterogeneous environment. Indicated that the decision tree combined . . .
  

   

  

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