Rethinking Encrypted Traffic Classification: A Multi-Attribute Associated Fingerprint Approach-Reference-Cited by-同舟云学术

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Rethinking Encrypted Traffic Classification: A Multi-Attribute Associated Fingerprint Approach

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE 27th International Conference on Network Protocols (ICNP)
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Author:

Chen Yige,Zang Tianning,Zhang Yongzheng,Zhou Yuan,Wang Yipeng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8884214/8888028/08888043.pdf?arnumber=8888043

Cited by 19 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. Fingerprinting the Shadows: Unmasking Malicious Servers with Machine Learning-Powered TLS Analysis;Proceedings of the ACM Web Conference 2024;2024-05-13

2. Encrypted Mobile Traffic Classification with a Few-shot Incremental Learning Approach;2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA);2023-08-18

3. Facing Unknown: Open-World Encrypted Traffic Classification Based on Contrastive Pre-Training;2023 IEEE Symposium on Computers and Communications (ISCC);2023-07-09

4. Encrypted TLS Traffic Classification on Cloud Platforms;IEEE/ACM Transactions on Networking;2023-02

5. A Feasible and Explainable Network Traffic Classifier Utilizing DistilBERT;IEEE Access;2023

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