[1]
|
Intelligent Intrusion Detection Framework for Anomaly-Based CAN Bus Network Using Bidirectional Long Short-Term Memory
Journal of The Institution of Engineers (India): Series B,
2024
DOI:10.1007/s40031-023-00987-9
|
|
|
[2]
|
Advances in Computational Intelligence Systems
Advances in Intelligent Systems and Computing,
2024
DOI:10.1007/978-3-031-47508-5_31
|
|
|
[3]
|
Intrusion detection system for vehicular ad hoc network attacks based on machine learning techniques
Information Security Journal: A Global Perspective,
2024
DOI:10.1080/19393555.2024.2307638
|
|
|
[4]
|
Cyber Security for IEEE 802.1 Time Sensitive In-Vehicle Networking: Recent Advances and Impact Analysis of DoS Attacks
Deu Muhendislik Fakultesi Fen ve Muhendislik,
2024
DOI:10.21205/deufmd.2024267613
|
|
|
[5]
|
Leveraging Artificial Neural Networks and LightGBM for Enhanced Intrusion Detection in Automotive Systems
Arabian Journal for Science and Engineering,
2024
DOI:10.1007/s13369-024-08787-z
|
|
|
[6]
|
Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems
Engineering Applications of Artificial Intelligence,
2024
DOI:10.1016/j.engappai.2023.107667
|
|
|
[7]
|
Algorithms and Architectures for Parallel Processing
Lecture Notes in Computer Science,
2024
DOI:10.1007/978-981-97-0801-7_12
|
|
|
[8]
|
Detecting Vehicular Networking Node Misbehaviour Using Machine Learning
2023 International Conference for Advancement in Technology (ICONAT),
2023
DOI:10.1109/ICONAT57137.2023.10080114
|
|
|
[9]
|
A lightweight intrusion detection system for internet of vehicles based on transfer learning and MobileNetV2 with hyper-parameter optimization
Multimedia Tools and Applications,
2023
DOI:10.1007/s11042-023-15771-6
|
|
|
[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
|
|
|
[13]
|
Mobility-Based Wormhole Detection at V2V and RSU in VANETs
2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA),
2023
DOI:10.1109/ICCCMLA58983.2023.10346667
|
|
|
[14]
|
AI-based Intrusion Detection for Intelligence Internet of Vehicles
IEEE Consumer Electronics Magazine,
2023
DOI:10.1109/MCE.2021.3137790
|
|
|
[15]
|
Deep Learning-Based Intrusion Detection System for Internet of Vehicles
IEEE Consumer Electronics Magazine,
2023
DOI:10.1109/MCE.2021.3139170
|
|
|
[16]
|
AI-based Intrusion Detection for Intelligence Internet of Vehicles
IEEE Consumer Electronics Magazine,
2023
DOI:10.1109/MCE.2021.3137790
|
|
|
[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
|
|
|
[20]
|
Parallel and Distributed Computing, Applications and Technologies
Lecture Notes in Computer Science,
2023
DOI:10.1007/978-3-031-29927-8_17
|
|
|
[21]
|
Detecting Vehicular Networking Node Misbehaviour Using Machine Learning
2023 International Conference for Advancement in Technology (ICONAT),
2023
DOI:10.1109/ICONAT57137.2023.10080114
|
|
|
[22]
|
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
|
|
|
[23]
|
Machine Learning-driven optimization for SVM-based intrusion detection system in vehicular ad hoc networks
Journal of Ambient Intelligence and Humanized Computing,
2023
DOI:10.1007/s12652-021-02963-x
|
|
|
[24]
|
IMPROVE: Intelligent Machine Learning based Portable, Reliable and Optimal VErification System for Future Vehicles
2023 International Conference on Computer Communication and Informatics (ICCCI),
2023
DOI:10.1109/ICCCI56745.2023.10128616
|
|
|
[25]
|
A lightweight intrusion detection system for internet of vehicles based on transfer learning and MobileNetV2 with hyper-parameter optimization
Multimedia Tools and Applications,
2023
DOI:10.1007/s11042-023-15771-6
|
|
|
[26]
|
Identifying Intrusion Attempts on Connected and Autonomous Vehicles: A Survey
Procedia Computer Science,
2023
DOI:10.1016/j.procs.2023.03.040
|
|
|
[27]
|
Emerging Trends in Cybersecurity Applications
2023
DOI:10.1007/978-3-031-09640-2_10
|
|
|
[28]
|
Intrusion Detection Techniques For Security and Privacy of 6G Applications
2023 Third International Conference on Secure Cyber Computing and Communication (ICSCCC),
2023
DOI:10.1109/ICSCCC58608.2023.10176740
|
|
|
[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
|
|
|
[35]
|
AI-enabled Technologies for Autonomous and Connected Vehicles
Lecture Notes in Intelligent Transportation and Infrastructure,
2023
DOI:10.1007/978-3-031-06780-8_20
|
|
|
[36]
|
Emerging Trends in Cybersecurity Applications
2023
DOI:10.1007/978-3-031-09640-2_10
|
|
|
[37]
|
Deep Learning-Based Intrusion Detection System for Internet of Vehicles
IEEE Consumer Electronics Magazine,
2023
DOI:10.1109/MCE.2021.3139170
|
|
|
[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
|
|
|
[44]
|
Advanced Information Networking and Applications
Lecture Notes in Networks and Systems,
2022
DOI:10.1007/978-3-030-99587-4_51
|
|
|
[45]
|
A Copula-Based Attack Prediction Model for Vehicle-to-Grid Networks
Applied Sciences,
2022
DOI:10.3390/app12083830
|
|
|
[46]
|
Anomaly Detection in the Internet of Vehicular Networks Using Explainable Neural Networks (xNN)
Mathematics,
2022
DOI:10.3390/math10081267
|
|
|
[47]
|
A multi-attack intrusion detection model based on Mosaic coded convolutional neural network and centralized encoding
PLOS ONE,
2022
DOI:10.1371/journal.pone.0267910
|
|
|
[48]
|
Detection of cybersecurity spoofing attacks in vehicular networks with recurrence quantification analysis
Computer Communications,
2022
DOI:10.1016/j.comcom.2022.05.021
|
|
|
[49]
|
Exploration of Novel Intelligent Optimization Algorithms
Communications in Computer and Information Science,
2022
DOI:10.1007/978-981-19-4109-2_6
|
|
|
[50]
|
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
|
|
|
[51]
|
ML-based Anomaly Detection for Intra-Vehicular CAN-bus Networks
2022 IEEE International Conference on Cyber Security and Resilience (CSR),
2022
DOI:10.1109/CSR54599.2022.9850292
|
|
|
[52]
|
Intelligent Systems and Applications
Lecture Notes in Networks and Systems,
2022
DOI:10.1007/978-3-030-82199-9_49
|
|
|
[53]
|
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles
IEEE Internet of Things Journal,
2022
DOI:10.1109/JIOT.2021.3084796
|
|
|
[54]
|
MTH-IDS: A Multitiered Hybrid Intrusion Detection System for Internet of Vehicles
IEEE Internet of Things Journal,
2022
DOI:10.1109/JIOT.2021.3084796
|
|
|
[55]
|
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
|
|
|
[56]
|
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
|
|
|
[57]
|
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
|
|
|
[58]
|
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
|
|
|
[59]
|
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
|
|
|
[60]
|
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
|
|
|
[61]
|
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
|
|
|
[62]
|
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
|
|
|
[63]
|
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
|
|
|
[64]
|
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
|
|
|
[65]
|
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
|
|
|
[66]
|
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
|
|
|
[67]
|
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
|
|
|
[68]
|
Protocol misbehavior detection framework using machine learning classification in vehicular Ad Hoc networks
Wireless Networks,
2021
DOI:10.1007/s11276-021-02565-7
|
|
|
[69]
|
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
|
|
|
[70]
|
Security Issues with In-Vehicle Networks, and Enhanced Countermeasures Based on Blockchain
Electronics,
2021
DOI:10.3390/electronics10080893
|
|
|
[71]
|
A Blockchain-Based Federated Forest for SDN-Enabled In-Vehicle Network Intrusion Detection System
IEEE Access,
2021
DOI:10.1109/ACCESS.2021.3094365
|
|
|
[72]
|
Deep Transfer Learning Based Intrusion Detection System for Electric Vehicular Networks
Sensors,
2021
DOI:10.3390/s21144736
|
|
|
[73]
|
A Cluster-Based Multidimensional Approach for Detecting Attacks on Connected Vehicles
IEEE Internet of Things Journal,
2021
DOI:10.1109/JIOT.2020.3032935
|
|
|
[74]
|
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
|
|
|
[75]
|
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
|
|
|
[76]
|
Innovative Security Solutions for Information Technology and Communications
Lecture Notes in Computer Science,
2020
DOI:10.1007/978-3-030-41025-4_16
|
|
|
[77]
|
Authentication Protocols in Internet of Vehicles: Taxonomy, Analysis, and Challenges
IEEE Access,
2020
DOI:10.1109/ACCESS.2020.2981397
|
|
|
[78]
|
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
|
|
|
[79]
|
Tree-Based Intelligent Intrusion Detection System in Internet of Vehicles
2019 IEEE Global Communications Conference (GLOBECOM),
2019
DOI:10.1109/GLOBECOM38437.2019.9013892
|
|
|