Design and Experimental Assessment of Real-Time Anomaly Detection Techniques for Automotive Cybersecurity
P Dini, S Saponara - Sensors, 2023 - mdpi.com
In recent decades, an exponential surge in technological advancements has significantly
transformed various aspects of daily life. The proliferation of indispensable objects such as …
transformed various aspects of daily life. The proliferation of indispensable objects such as …
A Hybrid-Cryptography Engine for Securing Intra-Vehicle Communications
While technological advancements and their deep integration in connected and automated
vehicles is a central aspect in the evolving trend of automotive industry, they also depict a …
vehicles is a central aspect in the evolving trend of automotive industry, they also depict a …
Intrusion detection system for autonomous vehicles using non-tree based machine learning algorithms
C Anthony, W Elgenaidi, M Rao - Electronics, 2024 - mdpi.com
This research work highlights significant achievements in the domain of intrusion detection
systems (IDSs) for autonomous vehicles, which are crucial in enhancing their safety …
systems (IDSs) for autonomous vehicles, which are crucial in enhancing their safety …
Systematic Review: Anomaly Detection in Connected and Autonomous Vehicles
JRV Solaas, N Tuptuk, E Mariconti - arXiv preprint arXiv:2405.02731, 2024 - arxiv.org
This systematic review focuses on anomaly detection for connected and autonomous
vehicles. The initial database search identified 2160 articles, of which 203 were included in …
vehicles. The initial database search identified 2160 articles, of which 203 were included in …
A Deep Learning-Based IDS for Automotive Theft Detection for In-Vehicle CAN Bus
Driver behavior features extracted from the controller area network (CAN) have potential
applications in improving vehicle safety. However, the development of a classifier-based …
applications in improving vehicle safety. However, the development of a classifier-based …
In-Vehicle Network Intrusion Detection System Using Convolutional Neural Network and Multi-Scale Histograms
G Baldini - Information, 2023 - mdpi.com
Cybersecurity in modern vehicles has received increased attention from the research
community in recent years. Intrusion Detection Systems (IDSs) are one of the techniques …
community in recent years. Intrusion Detection Systems (IDSs) are one of the techniques …
CVAR-FL IoV Intrusion Detection Framework
J Zhao, X Rao, JQ Liu, Y Guo, BK Yang - International Conference on …, 2023 - Springer
With the popularization of internet of vehicles (IoV) applications, security issues are
becoming increasingly prominent. IoV is vulnerable to various attacks, which may endanger …
becoming increasingly prominent. IoV is vulnerable to various attacks, which may endanger …
An Optimized Graph Neural Network-Based Approach for Intrusion Detection in Smart Vehicles
P Zambare, Y Liu - IFIP International Internet of Things Conference, 2023 - Springer
Due to recent developments in vehicle networks (VNs), more and more people want their
electric cars to have access to sophisticated networking features and perform a variety of …
electric cars to have access to sophisticated networking features and perform a variety of …
Análisis de supervivencia para la detección y clasificación de anomalías en vehículos
P Menéndez Trillo, F Otero Vázquez… - Jornadas Nacionales de …, 2024 - idus.us.es
Hoy en día la digitalización está presente en todos los ámbitos que nos podamos imaginar,
y los vehículos no son una excepción. Hace menos de 50 años la proporción de …
y los vehículos no son una excepción. Hace menos de 50 años la proporción de …