Graduation Year

2016

Document Type

Dissertation

Degree

Ph.D.

Degree Name

Doctor of Philosophy (Ph.D.)

Degree Granting Department

Computer Science and Engineering

Major Professor

Jay Ligatti, Ph.D.

Committee Member

Sanjukta Bhanja, Ph.D.

Committee Member

Dmitry Goldgof, Ph.D.

Committee Member

Yao Liu, Ph.D.

Committee Member

Brendan Nagle, Ph.D.

Keywords

code injection, gray policies, security metrics

Abstract

This dissertation generalizes traditional models of security policies, from specifications of

whether programs are secure, to specifications of how secure programs are. This is a generalization

from qualitative, black-and-white policies to quantitative, gray policies. Included are generalizations

from traditional definitions of safety and liveness policies to definitions of gray-safety and gray-

liveness policies. These generalizations preserve key properties of safety and liveness, including that

the intersection of safety and liveness is a unique allow-all policy and that every policy can be written

as the conjunction of a single safety and a single liveness policy. It is argued that the generalization

provides several benefits, including that it serves as a unifying framework for disparate approaches

to security metrics, and that it separates—in a practically useful way—specifications of how secure

systems are from specifications of how secure users require their systems to be. To demonstrate

the usefulness of the new model, policies for mitigating injection attacks (including both code-

and noncode-injection attacks) are explored. These policies are based on novel techniques for

detecting injection attacks that avoid many of the problems associated with existing mechanisms

for preventing injection attacks.

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