[HTML][HTML] A review of security attacks and intrusion detection in the vehicular networks
With the proliferation of Vehicular Ad Hoc Networks (VANETs), ensuring the security and
integrity of communication within these networks has become a paramount concern. This …
integrity of communication within these networks has become a paramount concern. This …
DeepSecDrive: An explainable deep learning framework for real-time detection of cyberattack in in-vehicle networks
W Ding, I Alrashdi, H Hawash, M Abdel-Basset - Information Sciences, 2024 - Elsevier
Autonomous driving (AD) technologies are becoming increasingly popular, promising
significant enhancements in road safety and efficiency. However, the susceptibility of …
significant enhancements in road safety and efficiency. However, the susceptibility of …
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities
With recent advances in artificial intelligence (AI) and robotics, unmanned vehicle swarms
have received great attention from both academia and industry due to their potential to …
have received great attention from both academia and industry due to their potential to …
Integration of Mixture of Experts and Multimodal Generative AI in Internet of Vehicles: A Survey
Generative AI (GAI) can enhance the cognitive, reasoning, and planning capabilities of
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
intelligent modules in the Internet of Vehicles (IoV) by synthesizing augmented datasets …
[HTML][HTML] Supervised contrastive ResNet and transfer learning for the in-vehicle intrusion detection system
High-end vehicles have been equipped with several electronic control units (ECUs), which
provide upgrading functions to enhance the driving experience. The controller area network …
provide upgrading functions to enhance the driving experience. The controller area network …
Multi-Classification In-Vehicle Intrusion Detection System using Packet-and Sequence-Level Characteristics from Time-Embedded Transformer with Autoencoder
In recent years, the increased application of controller area network (CAN) protocols has
made it the de facto standard for communication between electronic control units (ECUs) in …
made it the de facto standard for communication between electronic control units (ECUs) in …
SIDiLDNG: A similarity-based intrusion detection system using improved Levenshtein Distance and N-gram for CAN
J Song, G Qin, Y Liang, J Yan, M Sun - Computers & Security, 2024 - Elsevier
Due to the absence of encryption and authentication mechanisms in the Controller Area
Network (CAN), it is highly susceptible to attacks, especially with the increasing connectivity …
Network (CAN), it is highly susceptible to attacks, especially with the increasing connectivity …
LSF-IDM: Deep learning-based lightweight semantic fusion intrusion detection model for automotive
P Cheng, L Hua, H Jiang, G Liu - Peer-to-Peer Networking and …, 2024 - Springer
Abstract Controller Area Network (CAN) is increasing connectivity to the external
environment for intelligent interconnection in autonomous vehicles, as well as posing …
environment for intelligent interconnection in autonomous vehicles, as well as posing …
Exploring Highly Quantised Neural Networks for Intrusion Detection in Automotive CAN
S Khandelwal, S Shreejith - 2023 33rd International …, 2023 - ieeexplore.ieee.org
Vehicles today comprise intelligent systems like connected autonomous driving and
advanced driving assistance systems (ADAS) to enhance the driving experience, which is …
advanced driving assistance systems (ADAS) to enhance the driving experience, which is …
Windowed Hamming Distance-Based Intrusion Detection for the CAN Bus
S Fang, G Zhang, Y Li, J Li - Applied Sciences, 2024 - mdpi.com
The use of a Controller Area Network (CAN) bus in the automotive industry for connecting
electronic control units (ECUs) poses security vulnerabilities due to the lack of built-in …
electronic control units (ECUs) poses security vulnerabilities due to the lack of built-in …