General objectives: The schema of the catalogues and knowledge bases leveraged by the project (i.e., Threat catalogue, Threat-MTD knowledge base, Threat-Attack knowledge base) is available; a preliminary content of these knowledge bases is also available in a public repository. A subset of techniques has been selected for implementation within case studies.
The following deliverables are planned:
- Deliverable D4 (document): Methodologies (Attack and defense strategies and techniques, ML-based attack generation) - preliminary
- Deliverable D5 (artifacts): Knowledge bases’ schema and preliminary implementations (e.g., GitHub repository)
The following KPIs have been established:
KPI description | KPI value |
---|---|
number of threats identified in the threat catalogue | >= 80 |
number of MTD mechanisms identified in the MTD knowledge base | >= 10 |
number of MTD techniques for each mechanism identified in the MTD knowledge base | >= 2 |
number of threat-asset couples for which a concrete attack has been identified in the attack knowledge base | >= 10 |
number of ML algorithms considered for attack generation | >=2 |