Table 3 Comparison overview of machine learning models with respect to DDoS detection
From: Detecting Denial of Service attacks using machine learning algorithms
ML model for detecting DDoS attacks | Applications |
|---|---|
Logistic Regression | â–ª It is used to forecast the likelihood of a target variable using the supervised learning classification technique |
Naive Bayes | â–ª Predict a class of datasets for both binary and multi-class categorization â–ª In multi-class predictions, it performs better |
C4.5 | â–ªUsed to make a decision based on a sample of data either a univariate or multivariate predictors |
KNN | â–ª Evaluate the similarities between such a request and all the data items, select the K closest cases to the inquiry, and thereafter vote for the most common categorization |
SVM | â–ª Find a hyperplane in an N-dimensional space that categorises data points clearly |
Fuzzy c-means | â–ª Allows a single piece of data to belong to two or more clusters |