Streamlining Attack Tree Generation: A Fragment-Based Approach

Irdin Pekaric; Markus Frick; Jubril Gbolahan Adigun; Raffaela Groner; Thomas Witte; Alexander Raschke; Michael Felderer; Matthias Tichy

arXiv · 2310.00654

Streamlining Attack Tree Generation: A Fragment-Based Approach

Irdin Pekaric·Markus Frick·Jubril Gbolahan Adigun·Raffaela Groner·Thomas Witte·Alexander Raschke·Michael Felderer·Matthias Tichy

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Abstract

Attack graphs are a tool for analyzing security vulnerabilities that capture different and prospective attacks on a system. As a threat modeling tool, it shows possible paths that an attacker can exploit to achieve a particular goal. However, due to the large number of vulnerabilities that are published on a daily basis, they have the potential to rapidly expand in size. Consequently, this necessitates a significant amount of resources to generate attack graphs. In addition, generating composited attack models for complex systems such as self-adaptive or AI is very difficult due to their nature to continuously change. In this paper, we present a novel fragment-based attack graph generation approach that utilizes information from publicly available information security databases. Furthermore, we also propose a domain-specific language for attack modeling, which we employ in the proposed attack graph generation approach. Finally, we present a demonstrator example showcasing the attack generator's capability to replicate a verified attack chain, as previously confirmed by security experts.

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BibTeX RIS

Irdin Pekaric, Markus Frick, Jubril Gbolahan Adigun, Raffaela Groner, Thomas Witte, Alexander Raschke, Michael Felderer, Matthias Tichy. 2023-10-01. Streamlining Attack Tree Generation: A Fragment-Based Approach. https://arxiv.org/abs/2310.00654

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