A Graphical Model to Assess the Impact of Multi-Step Attacks

Abstract

In the last several decades, networked systems have grown in complexity and sophistication, introducing complex interdependencies amongst their numerous and diverse components. Attackers can leverage such interdependencies to penetrate seemingly well-guarded networks through sophisticated multi-step attacks. Research has shown that explicit and implicit interdependencies exist at various layers of the hardware and software architecture. In particular, dependencies between vulnerabilities and dependencies between applications and services are critical for assessing the impact of multi-step attacks. These two classes of interdependencies have been traditionally studied using attack and dependency graphs respectively. Although significant work has been done in the area of both attack and dependency graphs, we demonstrate that neither of these models can provide an accurate assessment of an attack’s impact, when used in isolation. To address this limitation, we take a mission-centric approach and present a solution to integrate these two powerful models into a unified framework that enables us to accurately assess the impact of multi-step attacks and identify high-impact attack paths within a network. This analysis can ultimately generate effective hardening recommendations, and can be seen as one phase of a continuous process that iteratively cycles through impact analysis and vulnerability remediation stages.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 26, 2017
Source ID
10.1177/1548512917706043

Entities

People

  • Massimiliano Albanese
  • Sushil Jajodia

Organizations

  • Army Research Office
  • George Mason University
  • Office of Naval Research

Tags

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Computer Networking
  • Educational Psychology