Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models

Encrypted Network Traffic Classification Using Deep and Parallel Network-in-Network Models

Network traffic classification aims to recognize different application or traffic types by analyzing received data packets. This paper presents a neural network model with deep and parallel network-in-network (NIN) structures for classifying encrypted network traffic. Comparing with standard convolu...

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Bibliographic Details
Main Authors: Zhiyong Bu, Bin Zhou, Pengyu Cheng, Kecheng Zhang, Zhen-Hua Ling
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Network traffic classification
convolutional neural network
network-in-network
data packet
Online Access:https://ieeexplore.ieee.org/document/9144586/

Internet

https://ieeexplore.ieee.org/document/9144586/

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