SQL Injection Attack Detection and Prevention Techniques Using Deep Learning

Web application brings us convenience but also has some potential security problems. SQL injection attacks topped the list of Top 10 Network Security Problems released by OWASP, and the detection technology of SQL injection attacks has been one of the hotspots of network security research. In this p...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-01, Vol.1757 (1), p.12055
Main Authors: Chen, Ding, Yan, Qiseng, Wu, Chunwang, Zhao, Jun
Format: Article
Language:English
Subjects:
Applications programs
CNN
Deep Learning
False alarms
MLP
Model testing
Natural language processing
Network security
Physics
Query languages
Security
SQL Injection Attack
Word2Vector
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Summary:Web application brings us convenience but also has some potential security problems. SQL injection attacks topped the list of Top 10 Network Security Problems released by OWASP, and the detection technology of SQL injection attacks has been one of the hotspots of network security research. In this paper, we propose a SQL injection detection method that does not rely on background rule base by using a natural language processing model and deep learning framework on the basis of comprehensive domestic and international research. The method can improve the accuracy and reduce the false alarm rate while allowing the machine to automatically learn the language model features of SQL injection attacks, greatly reducing human intervention and providing some defense against 0day attacks that never occur.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1757/1/012055