Fingerprinting encrypted network traffic types using machine learning-Reference-Cited by-同舟云学术

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Fingerprinting encrypted network traffic types using machine learning

Published:2018-04 Issue: Volume: Page:
ISSN:
Container-title:NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium
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Author:

Leroux Sam,Bohez Steven,Maenhaut Pieter-Jan,Meheus Nathan,Simoens Pieter,Dhoedt Bart

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8399136/8406102/08406218.pdf?arnumber=8406218

Cited by 16 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. Privacy-preserving visual analysis: training video obfuscation models without sensitive labels;Applied Intelligence;2024-04

2. Network Traffic Classification Using Distributed ML-Based Data Parallelization Approach;2023 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2023-09-24

3. A Systematic Approach for Temporal Traffic Selection Across Various Applications;2023 32nd International Conference on Computer Communications and Networks (ICCCN);2023-07

4. Crypto Makes AI Evolve;Crypto and AI;2023

5. The Effect of Network Environment on Traffic Classification;2022 12th International Conference on Computer and Knowledge Engineering (ICCKE);2022-11-17

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