A Meta Language for Threat Modeling and Attack Simulations
Title | A Meta Language for Threat Modeling and Attack Simulations |
Publication Type | Conference Paper |
Year of Publication | 2018 |
Authors | Johnson, Pontus, Lagerström, Robert, Ekstedt, Mathias |
Conference Name | Proceedings of the 13th International Conference on Availability, Reliability and Security |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-6448-5 |
Keywords | Attack Graphs, composability, Cyber Dependencies, cyber security, domain specific language, Metrics, pubcrawl, resilience, Resiliency, threat modeling |
Abstract | Attack simulations may be used to assess the cyber security of systems. In such simulations, the steps taken by an attacker in order to compromise sensitive system assets are traced, and a time estimate may be computed from the initial step to the compromise of assets of interest. Attack graphs constitute a suitable formalism for the modeling of attack steps and their dependencies, allowing the subsequent simulation. To avoid the costly proposition of building new attack graphs for each system of a given type, domain-specific attack languages may be used. These languages codify the generic attack logic of the considered domain, thus facilitating the modeling, or instantiation, of a specific system in the domain. Examples of possible cyber security domains suitable for domain-specific attack languages are generic types such as cloud systems or embedded systems but may also be highly specialized kinds, e.g. Ubuntu installations; the objects of interest as well as the attack logic will differ significantly between such domains. In this paper, we present the Meta Attack Language (MAL), which may be used to design domain-specific attack languages such as the aforementioned. The MAL provides a formalism that allows the semi-automated generation as well as the efficient computation of very large attack graphs. We declare the formal background to MAL, define its syntax and semantics, exemplify its use with a small domain-specific language and instance model, and report on the computational performance. |
URL | https://dl.acm.org/doi/10.1145/3230833.3232799 |
DOI | 10.1145/3230833.3232799 |
Citation Key | johnson_meta_2018 |