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Wake Forest University

Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory

Abstract

dc:description.abstract

The widespread availability and use of computing and internet resources require soft- ware developers to implement secure development standards and rigorous testing to prevent vulnerabilities. Due to human fallibility, programming errors and logical in- consistencies abound—thus, conventions for testing software are required to ensure Confidentiality, Integrity, and Availability of sensitive user data. A combination of manual inspection and automated analysis of programs is necessary to achieve this goal. Because of the massive size of many codebases, especially considering the in- corporation of third-party software and infrastructure, thorough manual code review by security experts is not always an option. Therefore, effective automated methods for testing software systems are essential.

Degree

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

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Seal, Scott

Subjects

dc:subject × 1

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/10339/59321
OAI identifier oai:identifier
oai:wakespace.lib.wfu.edu:10339/59321

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
citation

Seal, Scott. Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory. Wake Forest University, 2016. http://hdl.handle.net/10339/59321