Is Deep Learning a Better Option than Random Forest for Encrypted Traffic Classification?
Author:
Affiliation:
1. Université Paris Cité,Centre Borelli UMR 9010,Paris,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10639609/10639616/10639771.pdf?arnumber=10639771
Reference17 articles.
1. Improve quality of service for the Internet of Things using Blockchain & machine learning algorithms
2. Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey
3. The rise of traffic classification in IoT networks: A survey
4. Artificial intelligence in marketing research and future research directions: Science mapping and research clustering using bibliometric analysis
5. When a RF beats a CNN and GRU, together—A comparison of deep learning and classical machine learning approaches for encrypted malware traffic classification
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