Using machine learning and software-defined networking to detect and mitigate ddos attacks in fiber-optic networks

HIGHLIGHTS

• who: Sulaiman Alwabisi and colleagues from the Department of Computer Engineering, College of Computer and Information Sciences (CCIS), King Saud University, Riyadh, Saudi Arabia have published the Article: Using Machine Learning and Software-Defined Networking to Detect and Mitigate DDoS Attacks in Fiber-Optic Networks, in the Journal: Electronics 2022, 4065 of /2022/
• what: The investigation shows that DDoS attack detection methods using ML have been actively conducted and are essential to monitoring and resolution operations for organizations. To complete this literature review, Sudar offered an ML technique to detect malicious traffic that implemented DT . . .
  

   

  

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