STRATEGIC MITIGATION OF SQL INJECTION VULNERABILITIES IN MODERN WEB ARCHITECTURES: A COMPREHENSIVE REVIEW

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Authors: To'ychiyev Shukrullo Egamberdi o'g'li
Cited by: 0

Abstract

SQL Injection (SQLi) continues to pose a critical threat to modern web applications, exploiting improper input handling to compromise database integrity and confidentiality. This paper provides a comprehensive review of SQLi attack vectors, evaluates the effectiveness of cryptographic, pattern-based, and machine learning mitigation strategies, and analyzes their applicability in contemporary cloud-native and microservice-based architectures. Findings indicate that a multi-layered defense approach significantly reduces risk and enhances system resilience.

Fields of Study & Subjects

Web Application Security Vulnerabilities Adversarial Robustness in Machine Learning Network Security and Intrusion Detection

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
6 February 2026
Document type
Dataset