Using convolutional neural networks to network intrusion detection for cyber threats-Reference-Cited by-同舟云学术

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Using convolutional neural networks to network intrusion detection for cyber threats

Published:2018-04 Issue: Volume: Page:
ISSN:
Container-title:2018 IEEE International Conference on Applied System Invention (ICASI)
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Author:

Lin Wen-Hui,Lin Hsiao-Chung,Wang Ping,Wu Bao-Hua,Tsai Jeng-Ying

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8379737/8394245/08394474.pdf?arnumber=8394474

Cited by 88 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. Quantitative assessment of machine learning reliability and resilience;Risk Analysis;2024-07-23

2. Intrusion Detection System for Multiclass Detection based on a Convolutional Neural Network;2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON);2024-06-25

3. RETRACTED: An effective ensemble classification framework for intrusion detection system using LSTM autoencoder;Journal of Intelligent & Fuzzy Systems;2024-04-18

4. A Network Intrusion Detection Model for IoT Networks;2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG);2024-04-02

5. Intrusion detection system: a deep neural network-based concatenated approach;The Journal of Supercomputing;2024-03-12

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