Algorithm 3: Texture Feature Mining

Input: Network traffic (Bytes)

Output: Texture features

Step 1: Compute $B=\left\{B_1, B_2, \dots ., B_n \right\}$, where $B$ is for Bytes

Step 2: Compute $I$, where $I$ is image

Step 3: Decompose $I$ in $S{S}_1 \& S{S}_2$, where $S{S}_1=229\times 229$ and $S{S}_2=256\times 256$

Step 4: Apply SIFT and ORB on $S{S}_1$

Step 5: Apply SIFT and ORB on $S{S}_2$

Step 6: Generate texture features from the combination of SIFT and ORB

Step 7: Get texture features

Step 8: Finish