TorusSDN-DDoS Defense Dataset

The "TorusSDN-DDoS Defense Dataset" is meticulously crafted to tackle the intricate task of identifying Distributed Denial of Service (DDoS) attacks in Software-Defined Networking (SDN) setups, with a particular focus on the Torus network topology. It encompasses a wide array of network traffic data, encompassing both normal operations and malicious DDoS traffic patterns, making it an indispensable tool for the creation, evaluation, and refinement of sophisticated DDoS detection methodologies.

Structured to complement the capabilities of the Mininet emulator for SDN scenarios, the dataset provides extensive details on network dynamics, including packet rates, sizes, and types, along with flow counts and protocol specifications. Each record within the dataset is distinctly labeled to indicate its nature as either "normal" traffic or a "DDoS" attack, thereby enabling the application of supervised learning techniques and facilitating thorough analytical research.

Additionally, the dataset is feature by its inclusion of 35 primary network are instrumental in the identification of DDoS attacks, thereby offering a comprehensive resource for cybersecurity professionals and researchers aiming to enhance SDN defenses against DDoS threats.