HEDGE: Efficient Traffic Classification of Encrypted and Compressed Packets

Author:

Casino FranORCID,Choo Kim-Kwang RaymondORCID,Patsakis ConstantinosORCID

Funder

Horizon 2020 Framework Programme

European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE MELITY

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality

Cited by 53 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. High-speed encrypted traffic classification by using payload features;Digital Communications and Networks;2024-02

2. Classification of Encrypted Network Traffic;SpringerBriefs in Computer Science;2024

3. A Deep Neural Network-Based Classification Scheme for Encrypted and Compressed Traffic;2023 3rd International Conference on Computer Science, Electronic Information Engineering and Intelligent Control Technology (CEI);2023-12-15

4. Hitting Moving Targets: Intelligent Prevention of IoT Intrusions on the Fly;IEEE Internet of Things Journal;2023-12-01

5. Accurate compressed traffic detection via traffic analysis using Graph Convolutional Network based on graph structure feature;Computer Communications;2023-07

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