A Novel Model for Anomaly Detection in Network Traffic Based on Support Vector Machine and Clustering

Algorithm 1

The classification algorithm for SVM-C.

 Input:,,,,

 Output: y

 Step 1. Transform into a feature vector according to the data transformation method in Section 3.2.

 Step 2. Calculate .

 Step 3. If , let and is labeled as a normal URL. Otherwise, let and is labeled as an abnormal URL.