Network Anomaly Detection Based on Deep Support Vector Data Description-Reference-Cited by-同舟云学术

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Network Anomaly Detection Based on Deep Support Vector Data Description

Published:2020-05 Issue: Volume: Page:
ISSN:
Container-title:2020 5th IEEE International Conference on Big Data Analytics (ICBDA)
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Author:

Chen Xiaoqing,Cao Chunjie,Mai Jianbin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9099000/9099945/09101325.pdf?arnumber=9101325

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SG-RSRNN - Score Guided Robust Subspace Recovery-based Neural Network for Network Intrusion Detection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Detecting Network Anomalies Using the Rain Optimization Algorithm and Hoeffding Tree-based Autoencoder;2024 10th International Conference on Web Research (ICWR);2024-04-24

3. IoT Network Traffic Analysis with Deep Learning;2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops);2024-03-11

4. An Adaptive Policy-Based Anomaly Object Control System for Enhanced Cybersecurity;IEEE Access;2024

5. AAE-DSVDD: A one-class classification model for VPN traffic identification;Computer Networks;2023-11

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