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.
|Number of pages||4|
|Publication status||Accepted/In press - 24 Apr 2021|
|Event||15th EuroSys Doctoral Workshop - Virtual|
Duration: 26 Apr 2021 → 28 Apr 2021
|Workshop||15th EuroSys Doctoral Workshop|
|Abbreviated title||EuroSys 2021|
|Period||26/04/21 → 28/04/21|