A Deep Learning Approach for Intrusion Detection in Internet of Things using Bi-Directional Long Short-Term Memory Recurrent Neural Network-Reference-Cited by-同舟云学术

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A Deep Learning Approach for Intrusion Detection in Internet of Things using Bi-Directional Long Short-Term Memory Recurrent Neural Network

Published:2018-11 Issue: Volume: Page:
ISSN:
Container-title:2018 28th International Telecommunication Networks and Applications Conference (ITNAC)
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Author:

Roy Bipraneel,Cheung Hon

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8598648/8615121/08615294.pdf?arnumber=8615294

Cited by 93 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. A comprehensive survey on deep learning‐based intrusion detection systems in Internet of Things (IoT);Expert Systems;2024-09-14

2. Enhanced IDS with Deep Learning for IoT-Based Smart Cities Security;Tsinghua Science and Technology;2024-08

3. Privacy-Preserving Attribute-Based Access Control Scheme With Intrusion Detection and Policy Hiding for Data Sharing in VANET;IEEE Internet of Things Journal;2024-07-01

4. Survey on SDN-based Intrusion Detection Systems;2024 14th International Conference on Electrical Engineering (ICEENG);2024-05-21

5. A long short-term memory based approach for detecting cyber attacks in IoT using CIC-IoT2023 dataset;Journal of Edge Computing;2024-05-21

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