Data Drift in DL: Lessons Learned from Encrypted Traffic Classification
Author:
Affiliation:
1. David R. Cheriton School of Computer Science, University of Waterloo,Ontario,Canada
2. Orange Labs,Lannion,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9829715/9829755/09829791.pdf?arnumber=9829791
Reference19 articles.
1. A survey of methods for encrypted traffic classification and analysis
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3. Automated website fingerprinting through deep learning;rimmer;ArXiv Preprint,2017
4. Characterization of Tor Traffic using Time based Features
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4. FSTC: Dynamic Category Adaptation for Encrypted Network Traffic Classification;2023 IFIP Networking Conference (IFIP Networking);2023-06-12
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