Network traffic monitoring based on CNN-SVM
In a modern complex network, network monitoring and measurement have become increasingly important. The traditional network traffic monitoring methods face the challenge of efficiency and accuracy when dealing with massive data. The proposed hybrid model in this study uses convolutional neural netwo...
Saved in:
Main Author: | Wu Qian |
---|---|
Format: | Article |
Language: | English |
Published: |
EDP Sciences
2025-01-01
|
Series: | ITM Web of Conferences |
Online Access: | https://www.itm-conferences.org/articles/itmconf/pdf/2025/01/itmconf_dai2024_01014.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison Between Convolutional Neural Network CNN and SVM in Skin Cancer Images Recognition
by: Zaid Ghazi Hadi, et al.
Published: (2021-12-01) -
Analisis Perbandingan Algoritma SVM, KNN, dan CNN untuk Klasifikasi Citra Cuaca
by: Mohammad Farid Naufal
Published: (2021-03-01) -
FWA-SVM Network Intrusion Identification Technology for Network Security
by: Yaohui Zhang
Published: (2025-01-01) -
Modeling and Parameter Identification of the MR Damper Based on LS-SVM
by: Cheng Qian, et al.
Published: (2021-01-01) -
A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN
by: Afuan Lasmedi, et al.
Published: (2025-01-01)