Tabular-based self-supervised learning approach for encrypted traffic classification
Author:
Affiliation:
1. Shanghai University, School of Communication and Information Engineering, Shanghai, China
2. Shanghai YueWei Technology Co., Shanghai, China
Publisher
SPIE-Intl Soc Optical Eng
Subject
Electrical and Electronic Engineering,Computer Science Applications,Atomic and Molecular Physics, and Optics
Reference32 articles.
1. Toward the Accurate Identification of Network Applications
2. Deep Packet Inspection as a Service
3. End-to-end encrypted traffic classification with one-dimensional convolution neural networks
4. Malware traffic classification using convolutional neural network for representation learning
5. A New Semi-supervised Approach for Network Encrypted Traffic Clustering and Classification
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2. Exploring A Novel Data Augmentation Strategy for Enhanced In-Vehicle Security Analysis;2023 5th International Conference on Sustainable Technologies for Industry 5.0 (STI);2023-12-09
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