Machine Learning Based Botnet Detection is a tool to classify network traffic as being botnet affected or not based on the network traffic flows. It involves various classifiers including Neural Networks, Decision Tree, SVM, Naive Bayes, Logistic Regression, k-Nearest Neighbours.
☆69Oct 15, 2020Updated 5 years ago
Alternatives and similar repositories for Machine-Learning-Based-Botnet-Detection
Users that are interested in Machine-Learning-Based-Botnet-Detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Repository of Bachelor's Major Project on Botnet Detection☆177Jun 13, 2018Updated 8 years ago
- Implementation realized for my master thesis on "Botnet detection in encrypted traffic - a machine learning approach"