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
Published in:	27th IEEE/ACM International Conference on Automated Software Engineering (ASE) : proceedings, September 3-7, 2012, Essen, Germany pp. 310 - 313
Main Authors:	Shar, Lwin Khin, Tan, Hee Beng Kuan
Format:	Conference Proceeding
Language:	English
Published:	New York, NY, USA ACM 03.09.2012
Series:	ACM Conferences
Subjects:	Codes Complexity theory Data collection Data mining Defect prediction empirical study General and reference > Cross-computing tools and techniques > Metrics General and reference > Cross-computing tools and techniques > Verification input validation and sanitization Predictive models Security Software Software and its engineering > Software creation and management > Software development process management Software and its engineering > Software creation and management > Software verification and validation > Formal software verification Software and its engineering > Software organization and properties > Software functional properties > Formal methods > Software verification Software engineering static code attributes Theory of computation > Semantics and reasoning > Program reasoning > Program verification Time measurement Vectors web application vulnerabilities static code attributes empirical study input validation and sanitization web application vulnerabilities Defect prediction
ISBN:	1450312047, 9781450312042
Online Access:	Get full text
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