A novel network flow feature scaling method based on cloud-edge collaboration-Reference-Cited by-同舟云学术

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A novel network flow feature scaling method based on cloud-edge collaboration

Published:2023-11-01 Issue: Volume: Page:1947-1953
ISSN:
Container-title:2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
language:
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Author:

Li Zeyi¹,Zhang Ze²,Fu Mengyi²,Wang Pan³

Affiliation:

1. Nanjing University of Posts and Telecommunications,School of Computer Science,Nanjing,China

2. Nanjing University of Posts and Telecommunications,School of Internet of Things,Nanjing,China

3. Nanjing University of Posts and Telecommunications,School of Modern Posts,Nanjing,China

Funder

Innovation Fund

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10538469/10538471/10538990.pdf?arnumber=10538990

Reference17 articles.

1. Mobile Encrypted Traffic Classification Using Deep Learning: Experimental Evaluation, Lessons Learned, and Challenges

2. DISTILLER: Encrypted traffic classification via multimodal multitask deep learning

3. Performance evaluation of secured network traffic classification using a machine learning approach

4. AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions

5. Sequential Message Characterization for Early Classification of Encrypted Internet Traffic

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