Towards automation of threat modeling based on a semantic model of attack patterns and weaknesses
Not on the map. Why?
Abstract (arXiv)
This works considers challenges of building and usage a formal knowledge base (model), which unites the ATT&CK, CAPEC, CWE, CVE security enumerations. The proposed model can be used to learn relations between attack techniques, attack pattern, weaknesses, and vulnerabilities in order to build various threat landscapes, in particular, for threat modeling. The model is created as an ontology with freely available datasets in the OWL and RDF formats. The use of ontologies is an alternative of structural and graph based approaches to integrate the security enumerations. In this work we consider an approach of threat modeling with the data components of ATT&CK based on the knowledge base and an ontology driven threat modeling framework. Also, some evaluations are made, how it can be possible to use the ontological approach of threat modeling and which challenges this can be faced.
Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 53 references that are in the map. First posted on arXiv 8 Dec 2021.
Builds on
7 of 53 references.
References · 7
- 2021An Evolutionary Study of Configuration Design and Implementation in Cloud Systemscited by 7
- 2020CVE based classification of vulnerable IoT systemscited by 5
- 2020Linking Threat Tactics, Techniques, and Patterns with Defensive Weaknesses, Vulnerabilities and Affected Platform Configurations for Cyber Huntingcited by 4
- 2020Contextualisation of Data Flow Diagrams for security analysiscited by 2
- 2021Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligencecited by 2
- 2021Threat Modeling and Security Analysis of Containers: A Surveycited by 2
- 2020ConfEx: A Framework for Automating Text-based Software Configuration Analysis in the Cloudcited by 1
Built on by
Not cited yet.