Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Wan, Gerry"'
Autor:
Nam, Ihyun, Wan, Gerry
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) field. Clid aims to provide some information on a wide range of clients,
Externí odkaz:
http://arxiv.org/abs/2410.02040
Machine learning has shown tremendous potential for improving the capabilities of network traffic analysis applications, often outperforming simpler rule-based heuristics. However, ML-based solutions remain difficult to deploy in practice. Many exist
Externí odkaz:
http://arxiv.org/abs/2402.06099
Autor:
Liu, Shinan, Shaowang, Ted, Wan, Gerry, Chae, Jeewon, Marques, Jonatas, Krishnan, Sanjay, Feamster, Nick
Network traffic analysis increasingly uses complex machine learning models as the internet consolidates and traffic gets more encrypted. However, over high-bandwidth networks, flows can easily arrive faster than model inference rates. The temporal na
Externí odkaz:
http://arxiv.org/abs/2402.03694