Intrusion detection systems for intra-vehicle networks: A review
A modern vehicle is a complex system of sensors, electronic control units, and actuators
connected through different types of intra-vehicle networks to control and monitor the state of …
connected through different types of intra-vehicle networks to control and monitor the state of …
A survey of intrusion detection for in-vehicle networks
The development of the complexity and connectivity of modern automobiles has caused a
massive rise in the security risks of in-vehicle networks (IVNs). Nevertheless, existing IVN …
massive rise in the security risks of in-vehicle networks (IVNs). Nevertheless, existing IVN …
Machine Learning based intrusion detection systems for connected autonomous vehicles: A survey
J Nagarajan, P Mansourian, MA Shahid… - Peer-to-Peer Networking …, 2023 - Springer
Abstract Connected and Autonomous Vehicles (CAVs) expect to dramatically improve road
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …
safety and efficiency of the transportation system. However, CAVs can be vulnerable to …
VehicleEIDS: A novel external intrusion detection system based on vehicle voltage signals
Intelligent and connected vehicles (ICVs) have become the mainstream in the development
of automobile industry. Many emerging technologies have been proposed to provide users …
of automobile industry. Many emerging technologies have been proposed to provide users …
A survey of anomaly detection for connected vehicle cybersecurity and safety
GK Rajbahadur, AJ Malton… - 2018 IEEE Intelligent …, 2018 - ieeexplore.ieee.org
Anomaly detection techniques have been applied to the challenging problem of ensuring
both cybersecurity and safety of connected vehicles. We propose a taxonomy of prior …
both cybersecurity and safety of connected vehicles. We propose a taxonomy of prior …
Comparative study of machine learning methods for in-vehicle intrusion detection
An increasing amount of cyber-physical systems within modern cars, such as sensors,
actuators, and their electronic control units are connected by in-vehicle networks and these …
actuators, and their electronic control units are connected by in-vehicle networks and these …
Ecu fingerprinting through parametric signal modeling and artificial neural networks for in-vehicle security against spoofing attacks
Fully connected autonomous vehicles are more vulnerable than ever to hacking and data
theft. The controller area network (CAN) protocol is used for communication between in …
theft. The controller area network (CAN) protocol is used for communication between in …
Machine learning based ecu detection for automotive security
Due to digital transformation, an autonomous vehi-cle (AV) is realized as a network of
multiple electronic control units (ECUs) for providing ubiquitous connectivity and control-ling …
multiple electronic control units (ECUs) for providing ubiquitous connectivity and control-ling …
Enhancing ECU identification security in CAN networks using distortion modeling and neural networks
A novel technique for electronic control unit (ECU) identification is proposed in this study to
address security vulnerabilities of the controller area network (CAN) protocol. The reliable …
address security vulnerabilities of the controller area network (CAN) protocol. The reliable …
[PDF][PDF] Exploring attack surfaces of voltage-based intrusion detection systems in controller area networks
Electronic Control Units (ECUs) in automobiles exchange information using in-vehicle
network protocols such as the Controller Area Network (CAN). Designed for isolation, these …
network protocols such as the Controller Area Network (CAN). Designed for isolation, these …