Internet of Things Intrusion Detection: A Deep Learning Approach-Reference-Cited by-同舟云学术

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Internet of Things Intrusion Detection: A Deep Learning Approach

Published:2020-12-01 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE Symposium Series on Computational Intelligence (SSCI)
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Author:

Dawoud Ahmed,Sianaki Omid Ameri,Shahristani Seyed,Raun Chun

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9308061/9308107/09308293.pdf?arnumber=9308293

Cited by 8 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. MODELO DE AUTOENCODER COM ENSEMBLE LEARNING E CLUSTERIZAÇÃO PARA DETECÇÃO DE INTRUSÃO EM REDES;Revista Contemporânea;2024-06-28

2. Enhancing Sustainability in Smart Energy Systems Through Anomaly Detection Algorithms;Advances in Chemical and Materials Engineering;2024-06-21

3. Recent Research Solutions on Deep Learning-based Anomaly Detection in Internet of Things;2024 15th Annual Undergraduate Research Conference on Applied Computing (URC);2024-04-24

4. Intrusion Detection Techniques in Internet of Things: A Bird’s Eye View;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

5. A Three-Level Deep Learning Intrusion Detection System for IoT Network;2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE);2023-12-30

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