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AI-Based Intrusion Detection Systems for In-Vehicle Networks: A Survey
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Kadri… - ACM Computing …,
2023 |
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Intruder Detection in VANET Data Streams Using Federated Learning for Smart City Environments
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Electronics,
2023 |
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Statistical Detection of Adversarial Examples in Blockchain-Based Federated Forest In-Vehicle Network Intrusion Detection Systems
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IEEE …,
2022 |
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OFIDS: Online Learning-Enabled and Fingerprint-Based Intrusion Detection System in Controller Area Networks
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IEEE Transactions on Dependable …,
2022 |
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Anomaly detection in intra-vehicle networks
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arXiv preprint arXiv:2205.03537,
2022 |
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Classification of Normal and Malicious Traffic Based on an Ensemble of Machine Learning for a Vehicle CAN-Network
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Sensors,
2022 |
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A copula-based attack prediction model for vehicle-to-grid networks
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Applied Sciences,
2022 |
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[8]
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Deep Learning-based embedded Intrusion Detection Systems for CAN bus in Automotive Networks
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2022 |
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[9]
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Network Intrusion Detector using Multilayer Perceptron (MLP) Approach
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Turkish Journal of Computer and …,
2022 |
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Comparative Analysis of Intrusion Detection Models on Internet of Vehicles Using TensorFlow Neural Network Classifiers.
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International Journal of Novel Research and …,
2022 |
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[11]
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Développement d'un modèle de prédiction d'attaques basé sur les copules pour le réseau V2G
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2022 |
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[12]
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AHDNN: Attention-Enabled Hierarchical Deep Neural Network Framework for Enhancing Security of Connected and Autonomous Vehicles
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Journal of Circuits …,
2022 |
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[13]
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Detection of cybersecurity spoofing attacks in vehicular networks with recurrence quantification analysis
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Computer Communications,
2022 |
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[14]
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Intelligent Intrusion Detection System for VANET Using Machine Learning and Deep Learning Approaches
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… and Mobile Computing,
2022 |
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[15]
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Android Head Units vs. In-Vehicle ECUs: Performance Assessment for Deploying In-Vehicle Intrusion Detection Systems for the CAN Bus
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IEEE Access,
2022 |
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[16]
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CAN bus intrusion detection based on auxiliary classifier GAN and out-of-distribution detection
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ACM Transactions on …,
2022 |
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A Lightweight FPGA-based IDS-ECU Architecture for Automotive CAN
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2022 International Conference on …,
2022 |
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[18]
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Comparative Study of Ensemble Learning Techniques for Fuzzy Attack Detection in In-Vehicle Networks
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… Networking and Applications: Proceedings of the …,
2022 |
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[19]
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Machine Learning for Automotive Cybersecurity: Challenges, Opportunities and Future Directions
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AI-enabled Technologies for …,
2022 |
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Detection and Classification of Anomalies in Internet of Vehicles using Convolutional Neural Networks
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2022 1st International Conference on …,
2022 |
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A Many-Objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differential Privacy Protection
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… 2021, Guangzhou, China, November 20–21 …,
2022 |
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A Machine Learning Framework for Intrusion Detection in VANET Communications
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Emerging Trends in Cybersecurity Applications,
2022 |
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Generating Synthetic Automotive Data and Detecting Abnormal Vehicle Behavior Using Unsupervised Machine Learning
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2022 |
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A Hybrid Deep Sensor Anomaly Detection for Autonomous Vehicles in 6G-V2X Environment
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… on Network Science …,
2022 |
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Anomaly detection in the internet of vehicular networks using explainable neural networks (xnn)
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Mathematics,
2022 |
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A lightweight multi-attack CAN intrusion detection system on hybrid FPGAs
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2022 32nd International …,
2022 |
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[27]
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Deep learning-based embedded intrusion detection system for automotive CAN
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2022 IEEE 33rd …,
2022 |
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[28]
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LCCDE: A decision-based ensemble framework for intrusion detection in the internet of vehicles
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GLOBECOM 2022-2022 …,
2022 |
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[29]
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A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding
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Plos one,
2022 |
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[30]
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Intrusion Detection System for CAN Bus In-Vehicle Network based on Machine Learning Algorithms
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2021 IEEE 12th Annual Ubiquitous …,
2021 |
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[31]
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Security Issues with In-Vehicle Networks, and Enhanced Countermeasures Based on Blockchain
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2021 |
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[32]
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A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System
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IEEE Access,
2021 |
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Intrusion detection system using machine learning for vehicular ad hoc networks based on ToN-IoT dataset
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IEEE Access,
2021 |
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[34]
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Security on in-vehicle communication protocols: Issues, challenges, and future research directions
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Cruz, KA Ramírez-Gutiérrez… - Computer …,
2021 |
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MTH-IDS: A Multi-Tiered Hybrid Intrusion Detection System for Internet of Vehicles
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2021 |
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[36]
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Detecting CAN Bus Intrusion by Applying Machine Learning Method to Graph Based Features
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2021 |
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[37]
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Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
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2021 |
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[38]
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Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks
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2021 |
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[39]
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Protocol misbehavior detection framework using machine learning classification in vehicular Ad Hoc networks
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2021 |
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[40]
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Securing Internet of Things (IoT) Devices that Interact with Personal Information
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2021 |
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[41]
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Machine learning approach of hybrid KSVN algorithm to detect DDoS attack in VANET
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International Journal of Advanced …,
2021 |
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[42]
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Deep Learning-based Intrusion Detection System for Internet of Vehicles
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IEEE Consumer Electronics …,
2021 |
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[43]
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Deep Learning based Intrusion Detection System for Vehicular Ad-Hoc Network
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2021 |
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[44]
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A Review on Deep Learning Based Intrusion Detection System for Vehicular Ad-Hoc Network
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2021 |
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[45]
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AI-based Intrusion Detection for Intelligence Internet of Vehicles
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IEEE Consumer …,
2021 |
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[46]
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A comparative review of security threats datasets for vehicular networks
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2021 International Conference on …,
2021 |
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[47]
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Investigation of the effectiveness of metric classification methods in identifying attacks in VANET
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Journal of Physics …,
2021 |
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[48]
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Change point models for real-time cyber attack detection in connected vehicle environment
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IEEE Transactions on …,
2021 |
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[49]
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A Review on Intrusion Detection System in Vehicular Ad Hoc Network Using Deep Learning Method
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2020 |
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[50]
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Fuzzy LSSVC-WKNN Combination Algorithm in Fault Diagnosis.
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Electrotehnica, Electronica …,
2020 |
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[51]
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Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges
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2020 |
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[52]
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A Review on Intrusion Detection System in Vehicular Ad-hoc Network Using Deep Learning Method
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2020 |
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[53]
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Denial of Service (DoS) attacks on CAN Bus and Countermeasures: A review
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2020 |
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[54]
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A cluster-based multidimensional approach for detecting attacks on connected vehicles
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IEEE Internet of Things …,
2020 |
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[55]
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Tree-based Intelligent Intrusion Detection System in Internet of Vehicles
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2019 |
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[56]
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Integrating Adversary Models and Intrusion Detection Systems for In-vehicle Networks in CANoe
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2019 |
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[57]
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Integrating Adversary Models and Intrusion Detection Systems for In-vehicle Networks in CANoe.
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2019 |
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[58]
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Protocol misbehavior mitigation framework for broadcast communications in vehicular ad hoc networks
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2019 |
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