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DeepTLS: comprehensive and high-performance feature extraction for encrypted traffic. (arXiv:2208.03862v1 [cs.CR])
Aug. 9, 2022, 1:20 a.m. | Zhi Liu
cs.CR updates on arXiv.org arxiv.org
Feature extraction is critical for TLS traffic analysis using machine
learning techniques, which it is also very difficult and time-consuming
requiring huge engineering efforts. We designed and implemented DeepTLS, a
system which extracts full spectrum of features from pcaps across meta,
statistical, SPLT, byte distribution, TLS header and certificates. The backend
is written in C++ to achieve high performance, which can analyze a GB-size pcap
in a few minutes. DeepTLS was thoroughly evaluated against two state-of-the-art
tools Joy and Zeek …
More from arxiv.org / cs.CR updates on arXiv.org
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