Traffic Refinery: Cost-Aware Data Representation for Machine Learning on Network Traffic

no code implementations • 27 Oct 2020 • Francesco Bronzino, Paul Schmitt, Sara Ayoubi, Hyojoon Kim, Renata Teixeira, Nick Feamster

We demonstrate the benefit of exploring a range of representations of network traffic and present Traffic Refinery, a proof-of-concept implementation that both monitors network traffic at 10 Gbps and transforms traffic in real time to produce a variety of feature representations for machine learning.

BIG-bench Machine Learning Malware Detection +1