Distributed Pulse-Wave Simulator for DDoS Dataset Generation
Karim Khamaisi, Pascal Kiechl, Katharina M\"uller, Burkhard Stiller, Bruno Rodrigues

TL;DR
This paper introduces DPWS, an open-source distributed pulse-wave DDoS simulator that generates synchronized, multi-vantage point datasets to aid in analysis, detection, and defense benchmarking of complex attack patterns.
Contribution
The paper presents a novel simulator, DPWS, capable of modeling multi-AS pulse-wave DDoS attacks with synchronized data across multiple vantage points, enabling better analysis and defense testing.
Findings
DPWS accurately reproduces pulse-wave attack dynamics across multiple vantage points.
DPWS exhibits natural fingerprint variability at the same aggregate rates.
DPWS scales effectively with MPI in ns-3, supporting large-scale simulations.
Abstract
Pulse-wave Distributed Denial-of-Service (DDoS) attacks generate short, synchronized bursts of traffic that circumvent pattern-based detection and quickly exhaust traditional defense systems. This transient and spatially distributed behavior makes analysis extremely challenging, as no public datasets capture how such attacks evolve across multiple network domains. Since each domain observes only a partial viewpoint of the attack, a correlated, multi-vantage view is essential for comprehensive analysis, early detection, and attribution. This paper presents DPWS, an open-source simulator for generating distributed pulse-wave DDoS datasets. DPWS models multi-AS topologies and produces synchronized packet captures at multiple autonomous systems, showing the distributed structure of coordinated bursts. It enables fine-grained control of traffic parameters through a lightweight YAML…
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Taxonomy
TopicsNetwork Security and Intrusion Detection · Internet Traffic Analysis and Secure E-voting · Software-Defined Networks and 5G
