Stlgbm-dds: an efficient data balanced dos detection system for wireless sensor networks on big data environment

HIGHLIGHTS

• who: Murat DENER et al. from the Department of Information Security Engineering, Graduate School of Natural and Applied Sciences, Gazi University, Ankara, Turkey have published the Article: STLGBM-DDS: An Efficient Data Balanced DoS Detection System for Wireless Sensor Networks on Big Data Environment, in the Journal: (JOURNAL)
• what: In this study a unique DoS Intrusion Detection System (DDS) is proposed to detect DoS attacks specific to WSNs. In this study, a classification-based intrusion detection system specific to WSNs was implemented by using an ensemble method that combines LightGBM machine_learning algorithm, data balancing and . . .
  

   

  

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