LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles-Reference-Cited by-同舟云学术

LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Yang Li¹,Shami Abdallah¹,Stevens Gary²,de Rusett Stephen²

Affiliation:

1. Western University,London,Ontario,Canada

2. S2E Technologies,St. Jacobs,Ontario,Canada

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001280.pdf?arnumber=10001280

Reference23 articles.

1. Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization

2. GIDS: GAN based Intrusion Detection System for In-Vehicle Network

3. Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems;ashraf;IEEE Trans Intell Transp Syst,2020

4. In-vehicle network intrusion detection using deep convolutional neural network

5. Multi-Stage Optimized Machine Learning Framework for Network Intrusion Detection;injadat;IEEE Trans Netw Serv Manag,2020

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1. Hybrid intrusion detection model for Internet of Things (IoT) network environment;Journal of Intelligent & Fuzzy Systems;2023-11-04

2. Research on Vehicular External Network Intrusion Detection System Based on Ensemble Learning;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

3. Hybrid Detection: Enhancing Network & Server Intrusion Detection Using Deep Learning;2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA);2023-10-07

4. Intrusion Detection for Internet of Vehicles using Machine Learning;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06

5. A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks;IEEE Access;2023