Towards Generation of Attack Trees using Machine Learning

Kacper Jakub Sowka, Madeline Cheah, Trang Doan, Hoang Nga Nguyen, Siraj Shaikh

    Research output: Contribution to conferencePaperpeer-review

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    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 are limited due to the black-box nature and complexity of automotive systems. To rectify this, several approaches have been put forward to systematise and automate the process of testing vehicular systems, but these still require a significant amount of expert input to build test cases. Accordingly, this work aims to further automate the process by introducing a machine learning based generation scheme for data which can then be used to facilitate the creation of further tests.
    Original languageEnglish
    Number of pages4
    Publication statusAccepted/In press - 24 Apr 2021
    Event15th EuroSys Doctoral Workshop - Virtual
    Duration: 26 Apr 202128 Apr 2021

    Workshop

    Workshop15th EuroSys Doctoral Workshop
    Abbreviated titleEuroSys 2021
    Period26/04/2128/04/21

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