Defending against SQL Injection Attacks in Web Applications using Machine Learning and Natural Language Processing
Author:
Affiliation:
1. National Informatics Centre,Centre of Excellence for Application Security,Guwahati,Assam,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9691480/9691481/09691740.pdf?arnumber=9691740
Reference17 articles.
1. Machine Learning for SQL injection prevention on server-side scripting
2. SQL Injection detection using machine learning
3. Fragmented query parse tree based SQL injection detection system for web applications
4. An applied pattern-driven corpus to predictive analytics in mitigating SQL injection attack
5. Applied Machine Learning predictive analytics to SQL Injection Attack detection and prevention
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1. Fortifying Database Security: Integrating Advanced Honeypot Technology for Resilient SQL Injection Defense;2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE);2024-05-09
2. A diligent survey of SQL injection attacks, detection and evaluation of mitigation techniques;2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS);2024-02-24
3. Comparing Machine Learning for SQL Injection Detection in Web Systems;2023 10th International Conference on Soft Computing & Machine Intelligence (ISCMI);2023-11-25
4. Artificial Intelligence-Based Model for Data Security and Mitigation Against SQL Injection Attacks in Web Applications;2023 International Conference on Electrical, Computer and Energy Technologies (ICECET);2023-11-16
5. Overview of SQL Injection Attack Detection Techniques;Proceedings of the 2023 International Conference on Communication Network and Machine Learning;2023-10-27
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