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CMU-CS-04-102
Computer Science Department
School of Computer Science, Carnegie Mellon University
CMU-CS-04-102
Measuring a System's Attack Surface
Pratyusa Manadhata, Jeannette M. Wing
January 2004
CMU-CS-04-102.ps
CMU-CS-04-102.pdf
Keywords: Security metrics, attack, attack class,
attack surface, threat modeling
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.
25 pages
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