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Evolutionary Strategies for Secure Moving Target Configuration Discovery

Electronic Theses and Dissertations

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abstract
Defense against many cyber security threats can be implemented with existing software on the machine, without requiring patches for current programs or the installation of specialized security software. There are certain operating system or program parameters which, if set properly, can close security vulnerabilities. Learning a way to securely configure computers to prevent attacks potentially allows organizations to defend their machines with a relatively low cost.
subject
Computer security
Evolutionary Algorithms
Machine Learning
Moving Target Defense
contributor
Smith, Robert Walter (author)
John, David J (committee chair)
Canas, Daniel A (committee member)
Fulp, Errin W (committee member)
date
2014-07-10T08:35:29Z (accessioned)
2015-07-10T08:30:09Z (available)
2014 (issued)
degree
Computer Science (discipline)
embargo
2015-07-10 (terms)
identifier
http://hdl.handle.net/10339/39267 (uri)
language
en (iso)
publisher
Wake Forest University
title
Evolutionary Strategies for Secure Moving Target Configuration Discovery
type
Thesis

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