Step 1: Create two seperate vitual enviorment of python3.5 and python2.7 as venv and venv2 respectively.
Step 2: Run runme.sh in venv of python3.5 with following command in terminal.
./runme.sh
Step 3: Extract the static data from DATASET which generated the data.json by executing following command with python3 venv
python prepare_dataset.py
Step 4: Run runme2.sh for installing python2 dependencies.
./runme2.sh
Step 5: Check VT_ANALYSIS folder. is there any pre-analysis file of virus total exists or not. If Exists then skip this step.
python2 virustotal_analyser.py
Step 6: Run the following script from python3's venv to generate feature vector and training the classifier.
python jsontovector.py
Output:
| Classifier | Accuracy |
|---|---|
| SVC Score | 0.9318181818181818 |
| AdaBoostClassifier Score | 1.0 |
| DecisionTreeClassifier Score | 0.9545454545454546 |
| VotingClassifier Score | 0.9659090909090909 |