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Using Genetic Algorithms to Detect Security Related Software Parameter Chains

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abstract
Software configurations govern the operation of computer systems and their applications. These configurations consist of parameters that can be individually set to control different aspects of the system. Many cyber attacks can be attributed to misconfigured software. Exploits can be caused by a single parameter setting or a combination of settings. Identifying these parameter settings that are responsible for the exploits is difficult, as configurations often consist of hundreds of thousands of parameters. Some vulnerabilities are caused by a combination of settings, and these interdependencies between parameters further complicate this problem.
subject
contributor
Odell, Caroline (author)
Fulp, Errin W (committee chair)
Canas, Daniel A (committee member)
Turkett, William H (committee member)
date
2016-05-21T08:35:51Z (accessioned)
2016-05-21T08:35:51Z (available)
2016 (issued)
degree
Computer Science (discipline)
identifier
http://hdl.handle.net/10339/59317 (uri)
language
en (iso)
publisher
Wake Forest University
title
Using Genetic Algorithms to Detect Security Related Software Parameter Chains
type
Thesis

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