Harpoon: a flow-level traffic generator for router and network tests
Proceedings of the joint international conference on Measurement and modeling of computer systems
Self-configuring network traffic generation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
A framework for malicious workload generation
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Packet trace manipulation rramework for test labs
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Realistic and responsive network traffic generation
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Network monitoring using traffic dispersion graphs (tdgs)
Proceedings of the 7th ACM SIGCOMM conference on Internet measurement
FLAME: a flow-level anomaly modeling engine
CSET'08 Proceedings of the conference on Cyber security experimentation and test
Exploiting dynamicity in graph-based traffic analysis: techniques and applications
Proceedings of the 5th international conference on Emerging networking experiments and technologies
LiTGen, a lightweight traffic generator: application to P2P and mail wireless traffic
PAM'07 Proceedings of the 8th international conference on Passive and active network measurement
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We propose a novel methodology to generate realistic network flow traces to enable systematic evaluation of network monitoring systems in various traffic conditions. Our technique uses a graph-based approach to model the communication structure observed in real-world traces and to extract traffic templates. By combining extracted and user-defined traffic templates, realistic network flow traces that comprise normal traffic and customized conditions are generated in a scalable manner. A proof-of-concept implementation demonstrates the utility and simplicity of our method to produce a variety of evaluation scenarios. We show that the extraction of templates from real-world traffic leads to a manageable number of templates that still enable accurate re-creation of the original communication properties on the network flow level.