Classification Approach for Intrusion Detection in Vehicle Systems

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Wireless Engineering and Technology

ISSN Print: 2152-2294
ISSN Online: 2152-2308
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"Classification Approach for Intrusion Detection in Vehicle Systems"
written by Abdulaziz Alshammari, Mohamed A. Zohdy, Debatosh Debnath, George Corser,
published by Wireless Engineering and Technology, Vol.9 No.4, 2018

has been cited by the following article(s):

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[84]	MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles IEEE Internet of Things Journal, 2022 DOI:10.1109/JIOT.2021.3084796

[85]	MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles IEEE Internet of Things Journal, 2022 DOI:10.1109/JIOT.2021.3084796

[86]	Change Point Models for Real-Time Cyber Attack Detection in Connected Vehicle Environment IEEE Transactions on Intelligent Transportation Systems, 2022 DOI:10.1109/TITS.2021.3113675

[87]	Machine Learning-Based Architecture for DDoS Detection in VANETs System 2022 International Conference on Artificial Intelligence of Things (ICAIoT), 2022 DOI:10.1109/ICAIoT57170.2022.10121900

[88]	CAN Bus Intrusion Detection Based on Auxiliary Classifier GAN and Out-of-distribution Detection ACM Transactions on Embedded Computing Systems, 2022 DOI:10.1145/3540198

[89]	LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 2022 DOI:10.1109/GLOBECOM48099.2022.10001280

[90]	A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN 2022 International Conference on Field-Programmable Technology (ICFPT), 2022 DOI:10.1109/ICFPT56656.2022.9974508

[91]	Statistical Detection of Adversarial Examples in Blockchain-Based Federated Forest In-Vehicle Network Intrusion Detection Systems IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3212412

[92]	Detection and Classification of Anomalies in Internet of Vehicles using Convolutional Neural Networks 2022 1st International Conference on Computational Science and Technology (ICCST), 2022 DOI:10.1109/ICCST55948.2022.10040446

[93]	Android Head Units vs. In-Vehicle ECUs: Performance Assessment for Deploying In-Vehicle Intrusion Detection Systems for the CAN Bus IEEE Access, 2022 DOI:10.1109/ACCESS.2022.3204746

[94]	LCCDE: A Decision-Based Ensemble Framework for Intrusion Detection in The Internet of Vehicles GLOBECOM 2022 - 2022 IEEE Global Communications Conference, 2022 DOI:10.1109/GLOBECOM48099.2022.10001280

[95]	Detection and Classification of Anomalies in Internet of Vehicles using Convolutional Neural Networks 2022 1st International Conference on Computational Science and Technology (ICCST), 2022 DOI:10.1109/ICCST55948.2022.10040446

[96]	Deep Learning-based Embedded Intrusion Detection System for Automotive CAN 2022 IEEE 33rd International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2022 DOI:10.1109/ASAP54787.2022.00023

[97]	Intrusion Detection System for CAN Bus In-Vehicle Network based on Machine Learning Algorithms 2021 IEEE 12th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), 2021 DOI:10.1109/UEMCON53757.2021.9666745

[98]	Investigation of the effectiveness of metric classification methods in identifying attacks in VANET Journal of Physics: Conference Series, 2021 DOI:10.1088/1742-6596/2094/3/032066

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[100]	Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks Journal of Ambient Intelligence and Humanized Computing, 2021 DOI:10.1007/s12652-021-02963-x

[101]	Security Issues with In-Vehicle Networks, and Enhanced Countermeasures Based on Blockchain Electronics, 2021 DOI:10.3390/electronics10080893

[102]	A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3094365

[103]	Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks Sensors, 2021 DOI:10.3390/s21144736

[104]	A Cluster-Based Multidimensional Approach for Detecting Attacks on Connected Vehicles IEEE Internet of Things Journal, 2021 DOI:10.1109/JIOT.2020.3032935

[105]	Intrusion Detection System Using Machine Learning for Vehicular Ad Hoc Networks Based on ToN-IoT Dataset IEEE Access, 2021 DOI:10.1109/ACCESS.2021.3120626

[106]	A Comparative Review of Security Threats Datasets for Vehicular Networks 2021 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT), 2021 DOI:10.1109/3ICT53449.2021.9581683

[107]	Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks Sensors, 2021 DOI:10.3390/s21144736

[108]	Security Issues with In-Vehicle Networks, and Enhanced Countermeasures Based on Blockchain Electronics, 2021 DOI:10.3390/electronics10080893

[109]	Innovative Security Solutions for Information Technology and Communications Lecture Notes in Computer Science, 2020 DOI:10.1007/978-3-030-41025-4_16

[110]	Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges IEEE Access, 2020 DOI:10.1109/ACCESS.2020.2981397

[111]	In-Vehicle Intrusion Detection System on Controller Area Network with Machine Learning Models 2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2020 DOI:10.1109/ICCCNT49239.2020.9225442

[112]	Tree-Based Intelligent Intrusion Detection System in Internet of Vehicles 2019 IEEE Global Communications Conference (GLOBECOM), 2019 DOI:10.1109/GLOBECOM38437.2019.9013892

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