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Prediction of SQL Injection Attacks in Web Applications

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Abstract

As web applications become increasingly complex and connected, it becomes imperative to reduce the vulnerabilities in applications. SQLIA is a part of OWASP vulnerabilities and it is extremely important to prevent them. The proposed system aims to predict the occurrence of SQLIA on a given server, with applications deployed on it, from a given source, at a particular time. This prediction can be done with the help of JMeter tool. Apache JMeter is used to simulate logs data. From this, one can pre-process, extract features, and classify, which is then fed to a model for prediction of SQLIA.

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Correspondence to Chamundeswari Arumugam , Varsha Bhargavi Dwarakanathan , S. Gnanamary , Vishalraj Natarajan Neyveli , Rohit Kanakuppaliyalil Ramesh , Yeshwanthraa Kandhavel or Sadhanandhan Balakrishnan .

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Arumugam, C. et al. (2019). Prediction of SQL Injection Attacks in Web Applications. In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11622. Springer, Cham. https://doi.org/10.1007/978-3-030-24305-0_37

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  • DOI: https://doi.org/10.1007/978-3-030-24305-0_37

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24304-3

  • Online ISBN: 978-3-030-24305-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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