Predicting common web application vulnerabilities from input validation and sanitization code patterns

Predicting common web application vulnerabilities from input validation and sanitization code patterns

Software defect prediction studies have shown that defect predictors built from static code attributes are useful and effective. On the other hand, to mitigate the threats posed by common web application vulnerabilities, many vulnerability detection approaches have been proposed. However, finding al...

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Bibliographic Details
Main Authors: SHAR, Lwin Khin, TAN, Hee Beng Kuan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Defect prediction
static code attributes
web application vulnerabilities
input validation and sanitization
empirical study
Information Security
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4678
https://ink.library.smu.edu.sg/context/sis_research/article/5681/viewcontent/Predicting_Common_Web_App_Vunerabilities_2012.pdf
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Institution: Singapore Management University
Language: English

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