@inbook{b7ae7cd0f10c48c68e9b54d302ef78d7,
title = "A Review on Automatic Generation of Attack Trees and Its Application to Automotive Cybersecurity",
abstract = "A comprehensive cybersecurity evaluation of automotive on-board networks has become a crucial antecedent to the commercial distribution of vehicles. However, the means to perform the required testing and risk assessment are limited due to the complex and increasingly obscure nature of automotive systems. To rectify this, several approaches have been put forward to systematise and automate the process of evaluating cybersecurity in vehicular systems, but these still require a significant amount of expert input. Accordingly, this work evaluates the existing state of the art in attack tree generation as a means towards automation and systematisation of automotive cybersecurity assurance in addition to considering the potential of novel machine learning methods in pursuing further automation.",
keywords = "Attack trees, Automotive cybersecurity, Attack tree generation, Threat modelling, Artificial Intelligence",
author = "Sowka, {Kacper Jakub} and Vasile Palade and Hesam Jadidbonab and Paul Wooderson and Nguyen, {Hoang Nga}",
year = "2023",
month = jun,
day = "14",
doi = "10.1007/978-981-99-2115-7_7",
language = "English",
isbn = "9789819921140",
series = "Advanced Technologies and Societal Change",
publisher = "Springer, Singapore",
pages = "165--193",
editor = "Velliangiri Sarveshwaran and Chen, {Joy Iong-Zong} and Danilo Pelusi",
booktitle = "Artificial Intelligence and Cyber Security in Industry 4.0",
edition = "1",
}