Among the existing attack models, Attack Graphs (AGs) represent a powerful abstraction to capture the notion of multi step attacks i.e., ensembles of sequential vulnerability exploits taken by an attacker with a specific objective. A well-known issue in using AGs is their poor scalability due to the complexity of generating and analyzing all existing attack paths. To this aim, we propose a workflow for a more efficient generation of attack paths in a distributed and resilient manner. We describe the general workflow, emphasizing the research challenges and providing few preliminary solutions.
2023, 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), Pages 185-187
A workflow for distributed and resilient Attack Graph generation (04b Atto di convegno in volume)
Palma Alessandro, Bonomi Silvia