Blockchain and Federated-Learning empowered secure and trustworthy vehicular traffic

B Sengupta, S Sengupta, S Nandi… - 2022 IEEE/ACM 15th …, 2022 - ieeexplore.ieee.org
Emergence of the autonomous and connected vehicles and modern vehicular networks
improved the quality of the traditional transportation system. However, because of the …

Recent advances in machine-learning driven intrusion detection in transportation: Survey

H Bangui, B Buhnova - Procedia Computer Science, 2021 - Elsevier
Abstract Rapid developments in Intelligent Transportation Systems (ITSs) have emerged as
a new research field for building sustainable smart cities. VANET (vehicular ad hoc network) …

FL-IDS: Federated Learning-Based Intrusion Detection System Using Edge Devices for Transportation IoT

M Bhavsar, Y Bekele, K Roy, J Kelly, D Limbrick - IEEE Access, 2024 - ieeexplore.ieee.org
A federated learning-based intrusion detection system (FL-IDS) is introduced to enhance the
security of vehicular networks in the context of IoT edge device implementations. The FL-IDS …

CANGuard: Practical intrusion detection for in-vehicle network via unsupervised learning

W Zhou, H Fu, S Kapoor - 2021 IEEE/ACM Symposium on Edge …, 2021 - ieeexplore.ieee.org
Modern vehicles are becoming more advanced recently by incorporating new functionalities,
such as V2X, more connectivity and autonomous driving. However, these new things also …

Hierarchical anomaly detection model for in-vehicle networks using machine learning algorithms

S Park, JY Choi - Sensors, 2020 - mdpi.com
The communication and connectivity functions of vehicles increase their vulnerability to
hackers. The unintended failure and malfunction of in-vehicle systems caused by external …

Tree-based intelligent intrusion detection system in internet of vehicles

L Yang, A Moubayed, I Hamieh… - 2019 IEEE global …, 2019 - ieeexplore.ieee.org
The use of autonomous vehicles (AVs) is a promising technology in Intelligent
Transportation Systems (ITSs) to improve safety and driving efficiency. Vehicle-to-everything …

Research on Vehicular External Network Intrusion Detection System Based on Ensemble Learning

Q Liu, W Bao, Q Liu - 2023 IEEE 98th Vehicular Technology …, 2023 - ieeexplore.ieee.org
With the development of the Internet of Vehicles (IoV), the combination of networks and
vehicles has brought great convenience to people. However, hackers can attack vehicles …

[HTML][HTML] Beyond vanilla: Improved autoencoder-based ensemble in-vehicle intrusion detection system

S Rajapaksha, H Kalutarage, MO Al-Kadri… - Journal of information …, 2023 - Elsevier
Modern automobiles are equipped with a large number of electronic control units (ECUs) to
provide safe, driver assistance and comfortable services. The controller area network (CAN) …

Benchmarking the Bagging and Boosting (B & B) Algorithms for Modeling Optimized Autonomous Intrusion Detection Systems (AIDS)

S Upadhyaya, D Mehrotra - SN Computer Science, 2023 - Springer
The mapped mathematical models (MMMs) in machine learning are instrumental in
obtaining segregated yet effective solutions for security-specific scenarios in intrusion …

Practical IDS on in-vehicle network against diversified attack models

J Xiao, H Wu, X Li, Y Linghu - … , Melbourne, VIC, Australia, December 9–11 …, 2020 - Springer
A vehicle bus is a specialized internal communication network that interconnects
components inside a vehicle. The Controller Area Network (CAN bus), a robust vehicle bus …