Mitigating SQL injection and cross site scripting vulnerabilities using program analysis and data mining techniques
This thesis presents approaches for mitigating SQL injection (SQLI) and cross site scripting (XSS) vulnerabilities, the two most common vulnerabilities found in web applications in recent years. Current approaches to mitigate SQLI and XSS problems can be broadly classified into three types which are...
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| Format: | Thesis |
| Language: | English |
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2013
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| Online Access: | https://hdl.handle.net/10356/55051 |