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Threat-driven security testing
and proactive DEFense identification for EDGE-cloud systems

Milestone 2 (M12)

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