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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

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) · Vol. 8, No. 8 · Published 2017 · Cited by 11

DOI: https://doi.org/10.14569/IJACSA.2017.080827

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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

How to Cite this Article

Nadeem, R. M., Saleem, R. M., Bashir, R., & Habib, S. (2017). Detection and Prevention of SQL Injection Attack by Dynamic Analyzer and Testing Model. International Journal of Advanced Computer Science and Applications, 8(8). https://doi.org/10.14569/IJACSA.2017.080827

Nadeem, Rana Muhammad, et al.. "Detection and Prevention of SQL Injection Attack by Dynamic Analyzer and Testing Model." International Journal of Advanced Computer Science and Applications, vol. 8, no. 8, 2017, https://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},
  volume    = {8},
  number    = {8},
  year      = {2017},
  publisher = {The Science and Information Organization},
  author    = {Rana Muhammad Nadeem and Rana Muhammad Saleem and Rabnawaz Bashir and Sidra Habib},
  doi       = {10.14569/IJACSA.2017.080827},
  url       = {https://doi.org/10.14569/IJACSA.2017.080827}
}

Open Access — licensed under a Creative Commons Attribution 4.0 International License. Unrestricted use, distribution, and reproduction in any medium, even commercially, as long as the original work is properly cited.

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