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Wake Forest University

Using Genetic Algorithms to Detect Security Related Software Parameter Chains

Abstract

dc:description.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.

Degree

thesis:*
Grantor dc:publisher
Wake Forest University
Year dc:date.issued
2016

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Odell, Caroline

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10339/59317
OAI identifier oai:identifier
oai:wakespace.lib.wfu.edu:10339/59317

Chain of custody

source
Harvested from
Wake Forest University
Base URL
wakespace.lib.wfu.edu/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
related terms
citation

Odell, Caroline. Using Genetic Algorithms to Detect Security Related Software Parameter Chains. Wake Forest University, 2016. http://hdl.handle.net/10339/59317