FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition-Reference-Cited by-同舟云学术

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FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition

Published:2019-04 Issue: Volume: Page:
ISSN:
Container-title:IEEE INFOCOM 2019 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)
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Author:

Shapira Tal,Shavitt Yuval

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8831168/8845034/08845315.pdf?arnumber=8845315

Cited by 109 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. DarkMor: A framework for darknet traffic detection that integrates local and spatial features;Neurocomputing;2024-11

2. The art of time-bending: Data augmentation and early prediction for efficient traffic classification;Expert Systems with Applications;2024-10

3. Network traffic classification based‐ masked language regression model using CNN;Concurrency and Computation: Practice and Experience;2024-07-15

4. Marina: Realizing ML-Driven Real-Time Network Traffic Monitoring at Terabit Scale;IEEE Transactions on Network and Service Management;2024-06

5. Self-Supervised Traffic Classification: Flow Embedding and Few-Shot Solutions;IEEE Transactions on Network and Service Management;2024-06

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