Differential Preserving in XGBoost Model for Encrypted Traffic Classification
Author:
Affiliation:
1. School of Cyber Engineering, Xidian University,Xi'an,China
2. Global Big Data Technologies Centre, University of Technology Sydney,Sydney,Australia
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9985010/9984997/09985052.pdf?arnumber=9985052
Reference19 articles.
1. Feature Optimization and Performance Evaluation of Machine Learning Algorithms for Identification of P2P Traffic
2. A survey on deep packet inspection for intrusion detection systems;abuhmed;ArXiv Preprint,2008
3. Investigation of machine learning based network traffic classification
4. Realtime Classification for Encrypted Traffic
5. Wide area traffic: the failure of Poisson modeling
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1. Combine intra- and inter-flow: A multimodal encrypted traffic classification model driven by diverse features;Computer Networks;2024-05
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