Ai-based intrusion detection systems for in-vehicle networks: A survey

S Rajapaksha, H Kalutarage, MO Al-Kadri… - ACM Computing …, 2023 - dl.acm.org
The Controller Area Network (CAN) is the most widely used in-vehicle communication
protocol, which still lacks the implementation of suitable security mechanisms such as …

Autonomous vehicles security: Challenges and solutions using blockchain and artificial intelligence

G Bendiab, A Hameurlaine, G Germanos… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The arrival of autonomous vehicles (AVs) promises many great benefits, including increased
safety and reduced energy consumption, pollution, and congestion. However, these engines …

[Retracted] Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends

L Elmoiz Alatabani, E Sayed Ali… - Journal of Advanced …, 2022 - Wiley Online Library
Recently, artificial intelligence (AI) technology has great attention in transportation systems,
which led to the emergence of a new concept known as Internet of Vehicles (IoV). The IoV …

Intrusion detection in the automotive domain: A comprehensive review

B Lampe, W Meng - IEEE Communications Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The automotive domain has realized amazing advancements in communication,
connectivity, and automation—and at a breakneck pace. Such advancements come with …

Machine learning for enhancing transportation security: A comprehensive analysis of electric and flying vehicle systems

H Alqahtani, G Kumar - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This paper delves into the transformative role of machine learning (ML) techniques in
revolutionizing the security of electric and flying vehicles (EnFVs). By exploring key domains …

A blockchain-based federated forest for SDN-enabled in-vehicle network intrusion detection system

I Aliyu, MC Feliciano, S Van Engelenburg… - IEEE …, 2021 - ieeexplore.ieee.org
In-vehicle communication systems are usually managed by controller area networks (CAN).
By broadcasting packets to their bus, the CAN facilitates the interaction between Electronic …

A network intrusion detection method based on deep multi-scale convolutional neural network

X Wang, S Yin, H Li, J Wang, L Teng - International Journal of Wireless …, 2020 - Springer
Network intrusion detection (NID) is an important method for network system administrators
to detect various security holes. The performance of traditional NID methods can be affected …

A cluster-based multidimensional approach for detecting attacks on connected vehicles

G D'Angelo, A Castiglione… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Nowadays, modern vehicles are becoming even more connected, intelligent, and smart. A
modern vehicle encloses several cyber–physical systems, such as actuators and sensors …

[HTML][HTML] Security intrusion detection using quantum machine learning techniques

M Kalinin, V Krundyshev - Journal of Computer Virology and Hacking …, 2023 - Springer
Conventional machine learning approaches applied for the security intrusion detection
degrades in case of big data input (10 6 and more samples in a dataset). Model training and …

Addressing the lack of comparability & testing in CAN intrusion detection research: A comprehensive guide to CAN IDS data & introduction of the ROAD dataset

ME Verma, MD Iannacone, RA Bridges… - arXiv preprint arXiv …, 2020 - arxiv.org
Although ubiquitous in modern vehicles, Controller Area Networks (CANs) lack basic
security properties and are easily exploitable. A rapidly growing field of CAN security …