SQL Injection Detection Using Machine Learning with Different TF-IDF Feature Extraction Approaches-Reference-Cited by-同舟云学术

SQL Injection Detection Using Machine Learning with Different TF-IDF Feature Extraction Approaches

Published:2022-10-23 Issue: Volume: Page:707-720
ISSN:2367-3370
Container-title:International Conference on Information Systems and Intelligent Applications
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Author:

Oudah Mohammed A.,Marhusin Mohd Fadzli,Narzullaev Anvar

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-16865-9_57

Reference21 articles.

1. OWASP, “OWASP Top 10 web application security,” OWASP foundation (2021). https://owasp.org/www-project-top-ten/. Accessed 15 Feb 2021

2. Jemal I, Cheikhrouhou O, Hamam H, Mahfoudhi A (2020) SQL injection attack detection and prevention techniques using machine learning. Int J Appl Eng Res 15(6):569–580 (ISSN 0973-4562)

3. Fakhreddine A (2019) State of the internet. Akamai Technologies, Inc, Cambridge

4. Binu S, Ashish K (2018) Proposed method for SQL injection detection and its prevention. Int J Eng Technol 7:213–216

5. Clarke J (2012) SQL Injection Attacks and Defense, vol 2. Elsevier, Waltham

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