Rank and wormhole attack detection model for rpl-based internet of things using machine learning

HIGHLIGHTS

• who: F. Zahra and colleagues from the School of Computer Science (SCS), Taylor`s University, Subang Jaya, Malaysia have published the article: Rank and Wormhole Attack Detection Model for RPL-Based Internet of Things Using Machine Learning, in the Journal: Sensors 2022, 6765 of /2022/
• what: In this paper a lightweight multiclass classification-based RPL-specific and sensor-network-inherited attack detection model called MC-MLGBM is proposed. This study proposes an ML-based model for addressing RA and WHA attacks in RPL-based IoT networks. The main contributions of the paper are summarized as . . .
  

   

  

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