Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities

Mining input sanitization patterns for predicting SQL injection and cross site scripting vulnerabilities

Static code attributes such as lines of code and cyclomatic complexity have been shown to be useful indicators of defects in software modules. As web applications adopt input sanitization routines to prevent web security risks, static code attributes that represent the characteristics of these routi...

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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
data mining
static code attributes
web security vulnerabilities
input sanitization
Information Security
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/4679
https://ink.library.smu.edu.sg/context/sis_research/article/5682/viewcontent/Mining_input_sanitization_patterns_for_predicting_SQL_injection_and_cross_site_scripting_vulnerabilities_icse12.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/4679
https://ink.library.smu.edu.sg/context/sis_research/article/5682/viewcontent/Mining_input_sanitization_patterns_for_predicting_SQL_injection_and_cross_site_scripting_vulnerabilities_icse12.pdf

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