Network
Anomaly Detection
In this project, 3 machine learning algorithms are
trained and tested on 2 different network flows dataset.
Algorithms: Randomforest, SVM and CNN. Datasets: CIC_IoT23, UGR16.
During the whole implementation of this project, these 3 algorithms were designed,
optimized for each dataset, and their performance is compared and inspected.
In this website, you are able to check the performance of all models visually,
and follow the instructions to reproduce the models training and testing.
