Wake Forest University
Using Genetic Algorithms to Detect Security Related Software Parameter Chains
Abstract
dc:description.abstractSoftware 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