Algorithm 2: Trained Feature Mining

Input: HTTP and TCF flows

Output: Trained features

Step 1: Select HTTP and TCP flows

Step 2: Tokenize and filter HTTP and TCP flows = clean features

Step 3: Apply fine-tune embedding      • Dynamic word2vec = train feature

Step 4: Extraction = train feature

Step 5: Compute trained files = mining trained files

Step 6: Finish