3 papers
cs.NI2025
CATO: End-to-End Optimization of ML-Based Traffic Analysis Pipelines
Gerry Wan, Shinan Liu, Francesco Bronzino +2
Machine learning has shown tremendous potential for improving the capabilities of network traffic analysis applications, often outperforming simpler rule-based heuristics. However,…
cs.NI2024
ServeFlow: A Fast-Slow Model Architecture for Network Traffic Analysis
Shinan Liu, Ted Shaowang, Gerry Wan +4
Network traffic analysis increasingly uses complex machine learning models as the internet consolidates and traffic gets more encrypted. However, over high-bandwidth networks, flow…
cs.NI2024
Clid: Identifying TLS Clients With Unsupervised Learning on Domain Names
Ihyun Nam, Gerry Wan
In this paper, we introduce Clid, a Transport Layer Security (TLS) client identification tool based on unsupervised learning on domain names in the server name indication (SNI) fie…