An Efficient Method for Online Detection of DRDoS Attacks on UDP-Based Services in SDN Using Machine Learning Algorithms

Table 3

Simulation settings.

Environment	SDN
Emulator	Mininet
Controller	Ryu
ML algorithms	AdaBoost, DTree, RF, SVM, GBC
Number of attributes selected from the dataset	12
Number of switches in the topology	11
Traffic type	Normal DNS traffic, malicious DNS traffic, and iperf traffic
Intervals of preparing reports on the network	20 seconds
Type of attack detection	Online (simultaneously with traffic generation)