Algorithm 4: Malware Classification

Input: Trained and texture features

Output: Malware classification

Step 1: Insert $T \mathrm{and} I$

Step 2: $T^{\prime }=\mathrm{CNN}\left(T\right)$ to apply the CNN technique of trained features

Step 3: $I^{\prime }=\mathrm{CNN}\left(I\right)$ to apply CNN the technique of texture features

Step 4: Calculate deep $PF$ as a prominent features as a prominent features

Step 5: Apply voting-based ensemble learning on deep $PF$

Step 6: App classification as malware or benign

Step 7: Finish