Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model-Reference-Cited by-同舟云学术

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Intrusion Detection System in Smart Home Network Using Bidirectional LSTM and Convolutional Neural Networks Hybrid Model

Published:2021-08-09 Issue: Volume: Page:
ISSN:
Container-title:2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS)
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Author:

Elsayed Nelly,Zaghloul Zaghloul Saad,Azumah Sylvia Worlali,Li Chengcheng

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9531648/9531647/09531683.pdf?arnumber=9531683

Cited by 23 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. Efficient RNN Models for IOT Intrusion Detection System;2024 International Conference on Control, Automation and Diagnosis (ICCAD);2024-05-15

2. Anomaly detection framework for IoT-enabled appliances using machine learning;Cluster Computing;2024-04-30

3. Hybrid Deep Learning Network Intrusion Detection System Based on Convolutional Neural Network and Bidirectional Long Short-Term Memory;Journal of Advances in Information Technology;2024

4. Optimizing Smart Home Intrusion Detection with Harmony-Enhanced Extra Trees;2024

5. Anomaly Detection in SCADA Industrial Control Systems Using Bi-Directional Long Short-Term Memory;Lecture Notes in Electrical Engineering;2023-11-30

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