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The Research of Detecting SQL Injection Based on the Connectivity with Its Behavior

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Frontiers in Computer Education

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 133))

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Abstract

According to the SQL injection attack process with the characteristic of connection, a detecting method was presented based on connective signatures filter, suitable for the traditional signatures matching algorithm. Using multiple member signatures which described by regular expression to filter the packets of hosts from Intranet. The experiment proves the validity and practicability of the detecting method.

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References

  1. OWASP held a Web security event and reading Web security trend, http://www.enet.com.cn/article/2010/0521/A20100521657157.shtml

  2. Zhang, B.: SQL Injection Attack and Detection Technology. Information Security and Communications Privacy 5, 90–92 (2010)

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  3. Li, Y.-P.: The Implementation of SQL Injection Attacks Scanning Analysis Tool and Research on Prevention Technology. Beijing jiaotong University School of Computer and Information Technology, Beijing (2010)

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  4. Wang, W.-P., Li, C., Duan, G.-H.: Design of SQL Injection Filtering Module Based on Regular Expression. Computer Engineering 37, 158–160 (2011)

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Author information

Authors and Affiliations

  1. School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin, 300391, China

    Hao Wang, Jinsong Wang, Jian Zhang, Sheng Lin & Chengyi Xia

Authors
  1. Hao Wang
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  2. Jinsong Wang
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  3. Jian Zhang
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  4. Sheng Lin
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  5. Chengyi Xia
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Editor information

Editors and Affiliations

  1. South China Normal University, Guangzhou, 510631, China, People's Republic

    Sabo Sambath

  2. South China Normal University, Guangzhou, 510631, China, People's Republic

    Egui Zhu

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Wang, H., Wang, J., Zhang, J., Lin, S., Xia, C. (2012). The Research of Detecting SQL Injection Based on the Connectivity with Its Behavior. In: Sambath, S., Zhu, E. (eds) Frontiers in Computer Education. Advances in Intelligent and Soft Computing, vol 133. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27552-4_68

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  • DOI: https://doi.org/10.1007/978-3-642-27552-4_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27551-7

  • Online ISBN: 978-3-642-27552-4

  • eBook Packages: EngineeringEngineering (R0)

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