Characterizing Volumetric DDoS Attacks in IoT Traffic
Project Overview
This project investigates volumetric Distributed Denial-of-Service (DDoS) attack patterns in Internet of Things (IoT) network traffic using the publicly available IoT23 dataset. The analysis characterizes how attack traffic behaves at scale, identifies key traffic features indicative of volumetric flooding, and demonstrates methods for profiling and distinguishing DDoS attack flows from normal IoT communications.
The repository includes: - A detailed written report summarizing the study and findings (PDF). - Data processing and analysis code in Python and R. - Traffic diagrams and supporting artifacts illustrating attack characterization. - Supporting scripts for data ingestion and transformation.
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Contains methodology, results, diagrams, and discussion of volumetric DDoS characteristics in real IoT traffic.