Traffic Refinery is a cost-aware network traffic analysis library implemented in Go
For a project overview, installation information, and detailed usage information please visit Traffic Refinery's project homepage
- Debian Linux
- macOS
- The library should work in Windows, too, but has not being tested
@article{10.1145/3491052,
author = {Bronzino, Francesco and Schmitt, Paul and Ayoubi, Sara and Kim, Hyojoon and Teixeira, Renata and Feamster, Nick},
title = {Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic},
year = {2021},
issue_date = {December 2021},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {5},
number = {3},
url = {https://doi.org/10.1145/3491052},
doi = {10.1145/3491052},
journal = {Proc. ACM Meas. Anal. Comput. Syst.},
month = {dec},
articleno = {40},
numpages = {24}
}