RADS dataset
Published: 2 May 2023| Version 2 | DOI: 10.17632/3g9c6kcgtg.2
Contributors:
, , , , Description
RADS is an anomaly detection system that utilizes time-series forecasting models like ARIMA to predict DDoS attacks in real-time. This system focuses on Software Defined Networks and aims to achieve real-time attack detection in such environments. This dataset contains the network flow information that was used to test the model. The topology was constructed using mininet and had four hosts connected to one switch. Traffic was generated using iperf commands among pairs of nodes in random.
Files
Institutions
RV College of Engineering
Categories
Denial-of-Service Attack, Software-Defined Networking