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Digital Object Identifier (DOI) : 10.14569/IJACSA.2017.080827
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 8, 2017.
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.
Rana Muhammad Nadeem, Rana Muhammad Saleem, Rabnawaz Bashir and Sidra Habib, “Detection and Prevention of SQL Injection Attack by Dynamic Analyzer and Testing Model” International Journal of Advanced Computer Science and Applications(IJACSA), 8(8), 2017. http://dx.doi.org/10.14569/IJACSA.2017.080827