In-vehicle network intrusion detection systems: a systematic survey of deep learning-based approaches

F Luo, J Wang, X Zhang, Y Jiang, Z Li, C Luo - PeerJ Computer Science, 2023 - peerj.com
Developments in connected and autonomous vehicle technologies provide drivers with
many convenience and safety benefits. Unfortunately, as connectivity and complexity within …

Federated Learning for Intrusion Detection Systems in Internet of Vehicles: A General Taxonomy, Applications, and Future Directions

J Alsamiri, K Alsubhi - Future Internet, 2023 - mdpi.com
In recent years, the Internet of Vehicles (IoV) has garnered significant attention from
researchers and automotive industry professionals due to its expanding range of …

IoV security and privacy survey: issues, countermeasures, and challenges

A Haddaji, S Ayed, L Chaari Fourati - The Journal of Supercomputing, 2024 - Springer
As a growing up-and-coming branch of the Internet of Things and traditional vehicular ad
hoc networks, the Internet of Vehicles (IoV) is intended to perform as a core information …

Federated Learning For Enhanced Cybersecurity And Trustworthiness In 5G and 6G Networks: A Comprehensive Survey

A Blika, S Palmos, G Doukas… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
In the fast-progressing field of wireless communications, the forthcoming 6G networks are
expected to revolutionize the way we communicate, offering unparalleled speed, minimal …

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 …

Prevention of Controller Area Network (CAN) Attacks on Electric Autonomous Vehicles

S Adly, A Moro, S Hammad, SA Maged - Applied Sciences, 2023 - mdpi.com
The importance of vehicle security has increased in recent years in the automotive field,
drawing the attention of both the industry and academia. This is due to the rise in …

A Survey of Anomaly Detection in In-Vehicle Networks

Ö Özdemir, MT İşyapar, P Karagöz, KW Schmidt… - arXiv preprint arXiv …, 2024 - arxiv.org
Modern vehicles are equipped with Electronic Control Units (ECU) that are used for
controlling important vehicle functions including safety-critical operations. ECUs exchange …

Evaluating the Impact of Privacy-Preserving Federated Learning on CAN Intrusion Detection

G Digregorio, E Cainazzo, S Longari… - 2024 IEEE 99th …, 2024 - ieeexplore.ieee.org
The challenges derived from the data-intensive nature of machine learning in conjunction
with technologies that enable novel paradigms such as V2X and the potential offered by 5G …