Performance Analysis of Scalable Attack Representation Models - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2013

Performance Analysis of Scalable Attack Representation Models

Jin B. Hong
  • Function : Author
  • PersonId : 1001109
Dong Seong Kim
  • Function : Author
  • PersonId : 1001110


Attack graphs (AGs) have been widely used for security analysis. The construction of the graph-based attack models including the AG have been studied, but the security evaluation considering the full attack paths cannot be computed using existing attack models due to the scalability problem. To solve this, we propose to use hierarchical attack representation models (HARMs). First, we formulate key questions that need to be answered to compare the scalability of existing attack models. We show the scalability of the HARMs via simulations, by taking into account practical attack scenario based on various network topologies.
Fichier principal
Vignette du fichier
978-3-642-39218-4_25_Chapter.pdf (582.77 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01463836 , version 1 (09-02-2017)





Jin B. Hong, Dong Seong Kim. Performance Analysis of Scalable Attack Representation Models. 28th Security and Privacy Protection in Information Processing Systems (SEC), Jul 2013, Auckland, New Zealand. pp.330-343, ⟨10.1007/978-3-642-39218-4_25⟩. ⟨hal-01463836⟩
115 View
253 Download



Gmail Facebook X LinkedIn More