URL: https://doi.org/10.1145/3563766.3564088
Bibtex Entry:
@inproceedings{2023-Ray-hotnets, author = “Ray, Devdeep and Seshan, Srinivasan”, title = “CC-Fuzz: Genetic Algorithm-Based Fuzzing for Stress Testing Congestion Control Algorithms”, year = “2022”, isbn = “9781450398992”, publisher = “Association for Computing Machinery”, address = “New York, NY, USA”, url = “https://doi.org/10.1145/3563766.3564088”, doi = “10.1145/3563766.3564088”, abstract = “Recent congestion control research has focused on purpose-built algorithms designed for the special needs of specific applications. Often, limited testing before deploying a CCA results in unforeseen and hard-to-debug performance issues due to the complex ways a CCA interacts with other existing CCAs and diverse network environments. We present CC-Fuzz, an automated framework that uses genetic search algorithms to generate adversarial network traces and traffic patterns for stress-testing CCAs. Initial results include CC-Fuzz automatically finding a bug in BBR that causes it to stall permanently, and automatically discovering the well-known low-rate TCP attack, among other things.”, booktitle = “Workshop on Hot Topics in Networking (HotNets)”, pages = “31–37”, numpages = “7”, keywords = “fuzz testing, congestion control, genetic algorithm”, location = “Austin, Texas”, series = “HotNets ‘22”, month = “November” }