Name
Abstract | ||
|---|---|---|
In this paper we introduce pwnPr3d, a probabilistic threat modeling approach for automatic attack graph generation based on network modeling. The aim is to provide stakeholders in organizations with a holistic approach that both provides high-level overview and technical details. Unlike many other threat modeling and attack graph approaches that rely heavily on manual work and security expertise, our language comes with built-in security analysis capabilities. pwnPr3d generates probability distributions over the time to compromise assets. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ARES.2016.77 | 2016 11th International Conference on Availability, Reliability and Security (ARES) |
Keywords | Field | DocType |
Threat Modeling,Network Security,Attack Graphs | Data mining,Threat model,Computer security,Computer science,Network security,Security analysis,Probability distribution,Compromise,Probabilistic logic,Attack graph,Network model | Conference |
ISBN | Citations | PageRank |
978-1-5090-0991-6 | 3 | 0.41 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pontus Johnson | 1 | 788 | 55.88 |
| Alexandre Vernotte | 2 | 24 | 3.65 |
| Mathias Ekstedt | 3 | 634 | 49.70 |
| Robert Lagerström | 4 | 401 | 36.58 |