Research output per year
Research output per year
Personal profile
PhD Project
Kacper's research is focused on the automatic generation of attack trees for automotive cybersecurity supported by machine learning. He is studying the ways in which machine learning methods could be applied in order to produce attack trees which can discern emergent and unexpected behaviour in ways that traditional formal methods of attack tree generation struggle with. This is supported by the use of vulnerability datasets and procedures such as natural language processing combined with graph neural networks to implement a comprehensive generation methodology for attack trees.
Biography
Kacper Sowka is a PhD student at Coventry University in partnership with HORIBA MIRA with a background in Computer Science. He completed his Computer Science Bsc at Coventry University in 2020 with first class honours and has since stayed on to complete a PhD in cybersecurity and artificial intelligence as applied to automotive cybersecurity.
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Research output
- 2 Paper
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Requirements for the automated generation of attack trees to support automotive cybersecurity assurance
Sowka, K. J., Cobos Yelavives, L. P., Ruddle, A. R. & Wooderson, P., 29 Mar 2022. 15 p.Research output: Contribution to conference › Paper › peer-review
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Towards Generation of Attack Trees using Machine Learning
Sowka, K. J., Cheah, M., Doan, T., Nguyen, H. N. & Shaikh, S., 24 Apr 2021, (Accepted/In press). 4 p.Research output: Contribution to conference › Paper › peer-review
Prizes
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Best Student for Computer Science Bsc (Hons)
Sowka, Kacper Jakub (Recipient), 2020
Prize: Prize (including medals and awards)
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