[HTML][HTML] can-train-and-test: A Curated CAN Dataset for Automotive Intrusion Detection
When it comes to in-vehicle networks (IVNs), the controller area network (CAN) bus
dominates the market; automobiles manufactured and sold worldwide depend on the CAN …
dominates the market; automobiles manufactured and sold worldwide depend on the CAN …
Investigation of Security Threat Datasets for Intra-and Inter-Vehicular Environments
A Haddaji, S Ayed, L Chaari Fourati… - Sensors, 2024 - mdpi.com
Vehicular networks have become a critical component of modern transportation systems by
facilitating communication between vehicles and infrastructure. Nonetheless, the security of …
facilitating communication between vehicles and infrastructure. Nonetheless, the security of …
Adversarial attack detection framework based on optimized weighted conditional stepwise adversarial network
K Barik, S Misra, L Fernandez-Sanz - International Journal of Information …, 2024 - Springer
Abstract Artificial Intelligence (AI)-based IDS systems are susceptible to adversarial attacks
and face challenges such as complex evaluation methods, elevated false positive rates …
and face challenges such as complex evaluation methods, elevated false positive rates …
can-train-and-test: A New CAN Intrusion Detection Dataset
The controller area network (CAN) bus facilitates communication between a vehicle's
microcontrollers, known as electronic control units (ECUs). Developed in 1983, the CAN bus …
microcontrollers, known as electronic control units (ECUs). Developed in 1983, the CAN bus …
An Automated Threat Intelligence Framework for Vehicle Road Cooperation Systems
Vehicle Road Cooperation Systems (VRCS) use next-generation Internet technologies,
including 5G, edge computing, and artificial intelligence to improve mobility, comfort, and …
including 5G, edge computing, and artificial intelligence to improve mobility, comfort, and …
Sparsified federated learning with differential privacy for intrusion detection in VANETs based on Fisher Information Matrix
R Chen, X Chen, J Zhao - Plos one, 2024 - journals.plos.org
With the continuous development of vehicular ad hoc networks (VANET) security, using
federated learning (FL) to deploy intrusion detection models in VANET has attracted …
federated learning (FL) to deploy intrusion detection models in VANET has attracted …
Homomorphic Encryption-Enabled Federated Learning for Privacy-Preserving Intrusion Detection in Resource-Constrained IoV Networks
BD Manh, CH Nguyen, DT Hoang… - arXiv preprint arXiv …, 2024 - arxiv.org
This paper aims to propose a novel framework to address the data privacy issue for
Federated Learning (FL)-based Intrusion Detection Systems (IDSs) in Internet-of-Vehicles …
Federated Learning (FL)-based Intrusion Detection Systems (IDSs) in Internet-of-Vehicles …
Analyzing the effectiveness of IDS/IPS in real-time with a custom in-vehicle design
A Adu-Kyere, E Nigussie, J Isoaho - Procedia Computer Science, 2024 - Elsevier
The era of ubiquitously interconnected, intelligent, and self-driving automobiles approaches
as contemporary vehicles undergo gradual enhancements in terms of security catalyzed by …
as contemporary vehicles undergo gradual enhancements in terms of security catalyzed by …
can-sleuth: Investigating and Evaluating Automotive Intrusion Detection Datasets
The modern automobile is a network—specifically, a controller area network (CAN)—of
computers. Automotive computers manage the engine (eg, fuel injection), the transmission …
computers. Automotive computers manage the engine (eg, fuel injection), the transmission …
Intrusion detection and defence for CAN bus through frequency anomaly analysis and arbitration mechanism
Q Dong, Z Song, H Shao - Electronics Letters, 2024 - Wiley Online Library
As automobile intelligence continues to develop, the electronic control units connected to
the Controller Area Network (CAN) bus within vehicles face an increasing number of threats …
the Controller Area Network (CAN) bus within vehicles face an increasing number of threats …