Botnet Classification Using Machine Learning

Botnet is one of the cyber security threats which may cause big damages. This research uses Machine Learning methods to classify and then detect botnet attacks. The CTU-13 dataset is used, and 90,962 records are trained in a 3-layer Deep Learning sequential model. The result has 99% accuracy and the value of recall, precision and F1 score is 99% as well.