Trajectory of an IoT Network DDoS Attack Detection Framework Based on Machine Learning: A Comprehensive Study
摘要
DDoS attacks can shut down servers, restrict banking system access, and damage reputation and cost. The world saw almost ten million DDoS attacks in 2020. Network traffic rates are often open-loop. To reduce them, police are used. Current network equipment architecture. This research shows how adaptive closed-loop policing might improve the design. Experimental evidence shows that token-bucket open-loop policing works. Mechanism mistake indicates steady-state control difficulty. However, the powerful self-tuning controller solves the issue. In this paper, we have presented a comprehensive overview of IoT-based DDoS attacks which are typically based on machine learning.