2026-09-18T23:15:17Zhttps://wakespace.lib.wfu.edu/server/oai/requestoai:null:10339/593212026-04-21T20:53:52Zcom_10339_14934col_10339_38132
Seal, Scott
2016-05-21T08:35:52Z
2017-05-20T08:30:08Z
2016
https://wakespace.lib.wfu.edu/handle/10339/59321
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.
en
Wake Forest University
evolutionary algorithms
fuzzing
fuzz testing
genetic algorithms
grammar fuzzing
Security
Optimzing Web Application Fuzzing with Genetic Algorithms and Language Theory
Thesis
Fulp, Errin W
John, David
Turkett, William
Computer Science
2017-05-20
open.access