Tool-Based Prediction of SQL Injection Vulnerabilities and Attacks on Web Applications
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-4990-6_49
Reference17 articles.
1. Qian L et al (2015) Research of SQL injection attack and prevention technology. In: 2015 IEEE International conference on estimation, detection and information fusion (ICEDIF 2015). https://doi.org/10.1109/ICEDIF.2015.7280212
2. Kamtuo K, Soomlek C (2016) Machine learning for SQL injection prevention on server-side scripting. In: 2016 IEEE international computer science and engineering conference (ICSEC), pp.1–6, Chiang Mai, Thailand
3. Singh JP (2016) Analysis of SQL injection detection techniques. Cryptography and Security, Cornell University. https://doi.org/10.20904/281-2037
4. https://github.com/SaqlainHussainShah/SQLi-Detection-using-Machine-Learning
5. Rubidha Devi D et al (2016) A study on SQL injection techniques. Int J Pharm Technol 8(4):22405–22415, ISSN: 0975-766X
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