Measuring a System's Attack Surface

Abstract

We propose a metric to determine whether one version of a system is relatively more secure than another with respect to the system's attack surface. Intuitively, the more exposed the attack surface, the more likely the system could be successfully attacked, and hence the more insecure it is. We define an attack surface in terms of the system's actions that are externally visible to its users and the system's resources that each action accesses or modifies. To apply our metric in practice, rather than consider all possible system resources, we narrow our focus on a "relevant" subset of resource types, which we call attack classes; these reflect the types of system resources that are more likely to be targets of attack. We assign payoffs to attack classes to represent likelihoods of attack; resources in an attack class with a high payoff value are more likely to be targets or enablers of an attack than resources in an attack class with a low payoff value. We outline a method to identify attack classes and to measure a system's attack surface. We demonstrate and validate our method by measuring the relative attack surface of four different versions of the Linux operating system.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2004
Accession Number
ADA458115

Entities

People

  • Jeannette Wing
  • Pratyusa Manadhata

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Biomedical
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Communication Channels
  • Computer Science
  • Computers
  • Denial Of Service Attack
  • Electronic Mail
  • Hierarchies
  • Information Operations
  • Intrusion Detection
  • Language
  • Measurement
  • Models
  • Operating Systems
  • Security
  • Security Protocols
  • Standards
  • Web Browsers
  • Word Processors

Fields of Study

  • Computer science
  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Cybersecurity.
  • Organizational Process Management (OPM).