A MULTI-STAGE MACHINE LEARNING FRAMEWORK FOR EFFECTIVE SQL INJECTION DETECTION USING DATA AUGMENTATION AND CONTEXTUAL FEATURE EXTRACTION.

SQL Injection (SQLi) remains one of the most critical security threats to modern web applications, exploiting vulnerabilities in database query handling to gain unauthorized access to sensitive data. Traditional signature- based detection methods often fail to identify novel or obfuscated attack pat...

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Bibliographic Details

Published in:	Scientific Culture Vol. 12; no. 2, Part 1; pp. 781 - 797
Main Authors:	Awadelkarim, Awad M., Alsamiri, Reem A., Bushnag, Anas, Chaabane, Slim Ben, Mustafa, Mohammed
Format:	Article
Published:	University of the Aegean 2026
Subjects:	Generative adversarial networks Intrusion detection systems (Computer security) Computer software security Machine learning Random forest algorithms Long short-term memory Language models Data augmentation
Online Access:	View this record in EBSCOhost