Research Article

Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing

Table 2

Comparison results of four algorithm detection evaluation criteria with changing numbers of attack training samples.

ā€‰Sample numbers
306090120

GAORF
(%)
accuracy100100100100
MR0000
FR0000
nu-SVM
(%)
accuracy90.098.199.05100
MR0000
FR19.093.631.820
C-SVM
(%)
accuracy97.14100100100
MR6.0000
FR0000
one-class-SVM
(%)
accuracy65.065.065.065.0
MR0000
FR70.070.070.070.0