Detection and Prevention of SQL Injection Attack by Dynamic Analyzer and Testing Model
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2017, Vol 8, Issue 8
Abstract
With the emergence and popularity of web application, threats related to web applications has increased to large extent. Among many other web applications threats Structured Query Language Injection Attack (SQLIA) is the dominant in its use due to its ability to access the data. Many solutions are proposed in this regard that has success in specific conditions. The proposed model is based on the dynamic analyzer model. The proposed model also has certain advantages like wide applicability, fast response time, coverage to large number of techniques of SQL Injections (SQLI) and efficient in term of resource usage.
Authors and Affiliations
Rana Muhammad Nadeem, Rabnawaz Bashir, Sidra Habib
Keywords
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- EP ID EP260403
- DOI 10.14569/IJACSA.2017.080827
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