LIOC - DDoS dataset

This dataset presents the development and implementation to evaluate the effectiveness of a DDoS attack mitigation or generation. In this contribution we manage three network environments, namely, 1) on a Cloud, 2) On-Premise, and 3) a segmented network.

Leveraging insights from prior investigations of our group, on the creation of machine learning algorithms to replicate (using Generative Adversarial Networks, GANs) and detected of DDos attacks using a group of Machine Learning and Deep Learning algorithms, such as: Convolutional Neural Networks (CNN), K-nearest neighbors (KNN), and tree based XGBoost.