Group-10_BotNet_Malware_Analysis
The repository holding code and dataset for the BotNet malware analysis performed using machine learning.
Mentored by:
- Dr.Senthilkumar Thangavel - Amrita School of Engineering, Coimbatore
- Sulakshan Vajipayajula - Architect-CTO Office - IBM Security, Bangalore
Team:
- Sudhay Senthilkumar - @sudhay23
- Sandeep Rajakrishnan - @san-coding
Techniques used:
- Multinomial Logistic Regression
- Decision Tree Classifier
- RandomForestClassifier
- Artificial Neural Networks
- GridSearchCV - for Hyperparameter Tuning
Results Obtained
| Algorithm | Accuracy |
|---|---|
| Artificial Neural Networks | 0.997697 |
| RandomForestClassifier | 0.999543 |
| Multinomial Logistic Regression | 0.985335 |
| Decision Tree Classifier | 0.999850 |
Code can be found in the file named : Codes/MalwareDetection_Group10_IBM_BotNet.ipynb