traffic-refinery

Traffic Refinery Overview

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

Installation

Supported Operating Systems

• Debian Linux
• macOS
• The library should work in Windows, too, but has not being tested

Dependencies

• libpcap - Packet sniffing
• [Optionally] PF_RING
• [Optionally] AF_PACKET

Citing Traffic Refinery

@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}
}