Classification Approach for Intrusion Detection in Vehicle Systems

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Wireless Engineering and Technology

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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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[1]	AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey
	Kadri… - ACM Computing …, 2023

[2]	Intruder Detection in VANET Data Streams Using Federated Learning for Smart City Environments
	Electronics, 2023

[3]	Statistical Detection of Adversarial Examples in Blockchain-Based Federated Forest In-Vehicle Network Intrusion Detection Systems
	IEEE …, 2022

[4]	OFIDS: Online Learning-Enabled and Fingerprint-Based Intrusion Detection System in Controller Area Networks
	IEEE Transactions on Dependable …, 2022

[5]	Anomaly detection in intra-vehicle networks
	arXiv preprint arXiv:2205.03537, 2022

[6]	Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network
	Sensors, 2022

[7]	A copula-based attack prediction model for vehicle-to-grid networks
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[8]	Deep Learning-based embedded Intrusion Detection Systems for CAN bus in Automotive Networks
	2022

[9]	Network Intrusion Detector using Multilayer Perceptron (MLP) Approach
	Turkish Journal of Computer and …, 2022

[10]	Comparative Analysis of Intrusion Detection Models on Internet of Vehicles Using TensorFlow Neural Network Classifiers.
	International Journal of Novel Research and …, 2022

[11]	Développement d'un modèle de prédiction d'attaques basé sur les copules pour le réseau V2G
	2022

[12]	AHDNN: Attention-Enabled Hierarchical Deep Neural Network Framework for Enhancing Security of Connected and Autonomous Vehicles
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[13]	Detection of cybersecurity spoofing attacks in vehicular networks with recurrence quantification analysis
	Computer Communications, 2022

[14]	Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches
	… and Mobile Computing, 2022

[15]	Android Head Units vs. In-Vehicle ECUs: Performance Assessment for Deploying In-Vehicle Intrusion Detection Systems for the CAN Bus
	IEEE Access, 2022

[16]	CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection
	ACM Transactions on …, 2022

[17]	A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN
	2022 International Conference on …, 2022

[18]	Comparative Study of Ensemble Learning Techniques for Fuzzy Attack Detection in In-Vehicle Networks
	… Networking and Applications: Proceedings of the …, 2022

[19]	Machine Learning for Automotive Cybersecurity: Challenges, Opportunities and Future Directions
	AI-enabled Technologies for …, 2022

[20]	Detection and Classification of Anomalies in Internet of Vehicles using Convolutional Neural Networks
	2022 1st International Conference on …, 2022

[21]	A Many-Objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differential Privacy Protection
	… 2021, Guangzhou, China, November 20–21 …, 2022

[22]	A Machine Learning Framework for Intrusion Detection in VANET Communications
	Emerging Trends in Cybersecurity Applications, 2022

[23]	Generating Synthetic Automotive Data and Detecting Abnormal Vehicle Behavior Using Unsupervised Machine Learning
	2022

[24]	A Hybrid Deep Sensor Anomaly Detection for Autonomous Vehicles in 6G-V2X Environment
	… on Network Science …, 2022

[25]	Anomaly detection in the internet of vehicular networks using explainable neural networks (xnn)
	Mathematics, 2022

[26]	A lightweight multi-attack CAN intrusion detection system on hybrid FPGAs
	2022 32nd International …, 2022

[27]	Deep learning-based embedded intrusion detection system for automotive CAN
	2022 IEEE 33rd …, 2022

[28]	LCCDE: A decision-based ensemble framework for intrusion detection in the internet of vehicles
	GLOBECOM 2022-2022 …, 2022

[29]	A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding
	Plos one, 2022

[30]	Intrusion Detection System for CAN Bus In-Vehicle Network based on Machine Learning Algorithms
	2021 IEEE 12th Annual Ubiquitous …, 2021

[31]	Security Issues with In-Vehicle Networks, and Enhanced Countermeasures Based on Blockchain
	2021

[32]	A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System
	IEEE Access, 2021

[33]	Intrusion detection system using machine learning for vehicular ad hoc networks based on ToN-IoT dataset
	IEEE Access, 2021

[34]	Security on in-vehicle communication protocols: Issues, challenges, and future research directions
	Cruz, KA Ramírez-Gutiérrez… - Computer …, 2021

[35]	MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles
	2021

[36]	Detecting CAN Bus Intrusion by Applying Machine Learning Method to Graph Based Features
	2021

[37]	Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
	2021

[38]	Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks
	2021

[39]	Protocol misbehavior detection framework using machine learning classification in vehicular Ad Hoc networks
	2021

[40]	Securing Internet of Things (IoT) Devices that Interact with Personal Information
	2021

[41]	Machine learning approach of hybrid KSVN algorithm to detect DDoS attack in VANET
	International Journal of Advanced …, 2021

[42]	Deep Learning-based Intrusion Detection System for Internet of Vehicles
	IEEE Consumer Electronics …, 2021

[43]	Deep Learning based Intrusion Detection System for Vehicular Ad-Hoc Network
	2021

[44]	A Review on Deep Learning Based Intrusion Detection System for Vehicular Ad-Hoc Network
	2021

[45]	AI-based Intrusion Detection for Intelligence Internet of Vehicles
	IEEE Consumer …, 2021

[46]	A comparative review of security threats datasets for vehicular networks
	2021 International Conference on …, 2021

[47]	Investigation of the effectiveness of metric classification methods in identifying attacks in VANET
	Journal of Physics …, 2021

[48]	Change point models for real-time cyber attack detection in connected vehicle environment
	IEEE Transactions on …, 2021

[49]	A Review on Intrusion Detection System in Vehicular Ad Hoc Network Using Deep Learning Method
	2020

[50]	Fuzzy LSSVC-WKNN Combination Algorithm in Fault Diagnosis.
	Electrotehnica, Electronica …, 2020

[51]	Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges
	2020

[52]	A Review on Intrusion Detection System in Vehicular Ad-hoc Network Using Deep Learning Method
	2020

[53]	Denial of Service (DoS) attacks on CAN Bus and Countermeasures: A review
	2020

[54]	A cluster-based multidimensional approach for detecting attacks on connected vehicles
	IEEE Internet of Things …, 2020

[55]	Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
	2019

[56]	Integrating Adversary Models and Intrusion Detection Systems for In-vehicle Networks in CANoe
	2019

[57]	Integrating Adversary Models and Intrusion Detection Systems for In-vehicle Networks in CANoe.
	2019

[58]	Protocol misbehavior mitigation framework for broadcast communications in vehicular ad hoc networks
	2019

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[10]	A Hybrid Deep Sensor Anomaly Detection for Autonomous Vehicles in 6G-V2X Environment IEEE Transactions on Network Science and Engineering, 2023 DOI:10.1109/TNSE.2022.3188304

[11]	Intruder Detection in VANET Data Streams Using Federated Learning for Smart City Environments Electronics, 2023 DOI:10.3390/electronics12040894

[12]	AHDNN: Attention-Enabled Hierarchical Deep Neural Network Framework for Enhancing Security of Connected and Autonomous Vehicles Journal of Circuits, Systems and Computers, 2023 DOI:10.1142/S0218126623500585

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[17]	Intrusion Detection System CAN-Bus In-Vehicle Networks Based on the Statistical Characteristics of Attacks Sensors, 2023 DOI:10.3390/s23073554

[18]	Intrusion Detection in Vehicle Controller Area Network (CAN) Bus Using Machine Learning: A Comparative Performance Study Sensors, 2023 DOI:10.3390/s23073610

[19]	AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey ACM Computing Surveys, 2023 DOI:10.1145/3570954

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[29]	Real-Time Zero-Day Intrusion Detection System for Automotive Controller Area Network on FPGAs 2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2023 DOI:10.1109/ASAP57973.2023.00033

[30]	Enhancing Intrusion Detection in Autonomous Vehicles Using Tree-Based Machine Learning Techniques 2023 3rd Asian Conference on Innovation in Technology (ASIANCON), 2023 DOI:10.1109/ASIANCON58793.2023.10270286

[31]	Multi-Classification and Tree-Based Ensemble Network for the Intrusion Detection System in the Internet of Vehicles Sensors, 2023 DOI:10.3390/s23218788

[32]	Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN 2023 33rd International Conference on Field-Programmable Logic and Applications (FPL), 2023 DOI:10.1109/FPL60245.2023.00040

[33]	OFIDS : Online Learning-Enabled and Fingerprint-Based Intrusion Detection System in Controller Area Networks IEEE Transactions on Dependable and Secure Computing, 2023 DOI:10.1109/TDSC.2022.3230501

[34]	Research on Vehicular External Network Intrusion Detection System Based on Ensemble Learning 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), 2023 DOI:10.1109/VTC2023-Fall60731.2023.10333498

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[38]	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

[39]	Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network Sensors, 2022 DOI:10.3390/s22239195

[40]	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

[41]	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

[42]	Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches Wireless Communications and Mobile Computing, 2022 DOI:10.1155/2022/5069104

[43]	AI-based Intrusion Detection Systems for In-Vehicle Networks: A Survey ACM Computing Surveys, 2022 DOI:10.1145/3570954

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