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DOI: 10.14569/IJACSA.2017.080827
PDF

Detection and Prevention of SQL Injection Attack by Dynamic Analyzer and Testing Model

Author 1: Rana Muhammad Nadeem
Author 2: Rana Muhammad Saleem
Author 3: Rabnawaz Bashir
Author 4: Sidra Habib

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 8 Issue 8, 2017.

  • Abstract and Keywords
  • How to Cite this Article
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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.

Keywords: Structured Query Language (SQL); injection attack; request receiver; analyzer and tester

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

@article{Nadeem2017,
title = {Detection and Prevention of SQL Injection Attack by Dynamic Analyzer and Testing Model},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2017.080827},
url = {http://dx.doi.org/10.14569/IJACSA.2017.080827},
year = {2017},
publisher = {The Science and Information Organization},
volume = {8},
number = {8},
author = {Rana Muhammad Nadeem and Rana Muhammad Saleem and Rabnawaz Bashir and Sidra Habib}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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