Skip to content
Research Article Open access CC BY 4.0

SQL Injection Attacks Prevention System Technology: Review

Fairoz Q. Kareem, Siddeeq Y. Ameen, Azar Abid Salih, Dindar Mikaeel Ahmed, Shakir Fattah Kak, Hajar Maseeh Yasin, Ibrahim Mahmood Ibrahim, Awder Mohammed Ahmed, Zryan Najat Rashid, Naaman Omar

Asian Journal of Research in Computer Science · pp. 13–32 · Published 6 Jul 2021

10.9734/ajrcos/2021/v10i330242

Abstract

The vulnerabilities in most web applications enable hackers to gain access to confidential and private information. Structured query injection poses a significant threat to web applications and is one of the most common and widely used information theft mechanisms. Where hackers benefit from errors in the design of systems or existing gaps by not filtering the user's input for some special characters and symbols contained within the structural query sentences or the quality of the information is not checked, whether it is text or numerical, which causes unpredictability of the outcome of its implementation. In this paper, we review PHP techniques and other techniques for protecting SQL from the injection, methods for detecting SQL attacks, types of SQL injection, causes of SQL injection via getting and Post, and prevention technology for SQL vulnerabilities.

SQL injection PHP database security.

Cited by 47

A Systematic Review of Sql Injection and Modern Injection Attacks in Web Applications: Detection and Prevention Perspectives

Yahya Al-Ashmoery, Youness Chaabi, B. Al-Fuhaidi · 2026 International Conference on Digital Transformation, Innovation & Sustainable Development (DTISD) · 2026

A Systematic Assessment of SQL Injection Prevention Mechanisms

Parvathala Balakesavareddy, S. Ramasubbareddy, S. Remya · 2025 1st International Conference on Advancement in Futuristic Technologies (ICAFT) · 2025

Contextual Embedding and Deep Neural Network Pipeline for Robust SQL Injection Detection and Categorization

Ibrahim El Bitar, Razan El Mais, Mohamad Raad · 2025 IEEE International Conference on Emerging Trends in Engineering and Computing (ETECOM) · 2025

Optimized Detection of SQL Injection Attacks Using Machine Learning: Enhancing Accuracy and Explainability in Cybersecurity

W. AlZoubi, Sanaa Mohsin, A. M. Hashim · 2025 International Conference on Cybersecurity and AI-Based Systems (Cyber-AI) · 2025

Integrating CVSS, OWASP, and APPI for a Comprehensive Risk Analysis of SQL Injection Vulnerabilities in E-Commerce

M. Adrian, P. Ibnugraha, Hilal H. Nuha · Intechno Journal (Information Technology Journal) · 2025

The Implications for a Hybrid Detection Technique Against Malicious SQL Attacks on Web Applications

Sarajaldeen Akram Bahjat Arif · Journal of Information Systems Engineering & Management · 2025

Malicious Query Recognition Using Chosen Machine Learning Techniques

C. Y. Daramola, S. Akinpelu, Ezekiel Olajuwon Akinyemi · SN Computer Science · 2025

Comprehensive Data Access Protection Suite

Anand Tagde, Pranjali Jibhakate, Yami Pimpalikar · 2025 International Conference on Computational, Communication and Information Technology (ICCCIT) · 2025

Detecting Security Vulnerabilities in Web Applications: A Proposed System

Ayman Emadeddin Hafez, M. Almustafa · International Journal of Safety and Security Engineering · 2024

Collaborative Detection of SQL Injection Attacks using SIEM, Multi-Wazuh Agents, and Diverse Web Application Firewalls

Mustaghfir Naufal Zaidan, Parman Sukarno, Aulia Arif Wardana · 2024 5th International Conference on Communications, Information, Electronic and Energy Systems (CIEES) · 2024

Related research

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

47

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.