Cyberattack detection in vehicles using characteristic functions, artificial neural networks, and visual analysis

Y Chevalier, F Fenzl, M Kolomeets… - Информатика и …, 2021 - proceedings.spiiras.nw.ru
The connectivity of autonomous vehicles induces new attack surfaces and thus the demand
for sophisticated cybersecurity management. Thus, it is important to ensure that in-vehicle …

Ecu-secure: Characteristic functions for in-vehicle intrusion detection

Y Chevalier, R Rieke, F Fenzl, A Chechulin… - Intelligent Distributed …, 2020 - Springer
Growing connectivity of vehicles induces increasing attack surfaces and thus the demand for
a sophisticated security strategy. One part of such a strategy is to accurately detect intrusive …

Comparative study of machine learning methods for in-vehicle intrusion detection

I Berger, R Rieke, M Kolomeets, A Chechulin… - … Workshop on Security …, 2018 - Springer
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 …

[PDF][PDF] Anomaly detection for in-vehicle networks using a sensor-based approach

M Müter, A Groll, F Freiling - Journal of Information Assurance and …, 2011 - mirlabs.org
Modern vehicles made a meaningful development to more complexity as well as
connectivity in the last decade. Therefore, they cannot be seen as a closed system anymore …

[HTML][HTML] Continuous fields: Enhanced in-vehicle anomaly detection using machine learning models

F Fenzl, R Rieke, Y Chevalier, A Dominik… - … Modelling Practice and …, 2020 - Elsevier
The attack surface of a modern vehicle increases with its connectivity. A strategy to prevent
attacks or at least to identify such attacks and to mitigate their effects is therefore imperative …

Systematic evaluation of automotive intrusion detection datasets

A Vahidi, T Rosenstatter, NI Mowla - … of the 6th ACM Computer Science …, 2022 - dl.acm.org
Some current and next generation security solutions employ machine learning and related
technologies. Due to the nature of these applications, correct use of machine learning can …

Intrusion detection in connected cars

RE Haas, DPF Möller, P Bansal… - … on Electro Information …, 2017 - ieeexplore.ieee.org
Automobiles are becoming increasingly connected and therefore are vulnerable to cyber
attacks. Intrusion detection systems are a well established technique in cyber security and …

A novel detection approach of unknown cyber-attacks for intra-vehicle networks using recurrence plots and neural networks

OY Al-Jarrah, K El Haloui, M Dianati… - IEEE Open Journal of …, 2023 - ieeexplore.ieee.org
Proliferation of connected services in modern vehicles could make them vulnerable to a
wide range of cyber-attacks through intra-vehicle networks that connect various vehicle …

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 …

CAVIDS: Real time intrusion detection system for connected autonomous vehicles using logical analysis of data

A Kumar, TK Das - Vehicular Communications, 2023 - Elsevier
Abstract In recent times, Connected Autonomous Vehicles (CAVs) have been gaining
popularity and have already begun to revolutionize the transport industry, mainly using real …