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