@inproceedings{10.1145/3546096.3546107,
author = {DeAngelis, David and Hussain, Alefiya and Kocoloski, Brian and Ardi, Calvin and Schwab, Stephen},
title = {Generating Representative Video Teleconferencing Traffic},
year = {2022},
isbn = {9781450396844},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3546096.3546107},
doi = {10.1145/3546096.3546107},
abstract = {Video teleconferencing (VTC) is a dominant network application, yet there is a dearth of tools to generate such traffic for systematic and reproducible experimentation. We present a framework to create representative video teleconferencing traffic and discuss our methodology for behavioral control of multiple bots to create human-like dialog coordination, including interactive talking and silence patterns. Our framework can be coupled with proprietary commercial VTC applications as well as deployed completely within a testbed environment to benchmark emerging networking technology and evaluate the next generation of traffic classification, quality of service (QoS) algorithms, and traffic engineering systems. Our traffic generators are open source and freely available at https://mergetb.org/projects/searchlight/.},
booktitle = {Proceedings of the 15th Workshop on Cyber Security Experimentation and Test},
pages = {100–104},
numpages = {5},
keywords = {cybersecurity testbeds, network traffic generation, VoIP, video teleconference},
location = {Virtual, CA, USA},
series = {CSET '22}
}

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