SQL Injection Attacks Prevention System Technology: Review

Author:

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

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.

Publisher

Sciencedomain International

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Analysis of SQLMAP Efficacy in Exploiting SQL Injection Vulnerabilities in Web Applications: A Case Study on DVWA;2023 International Conference on Engineering Applied and Nano Sciences (ICEANS);2023-10-25

2. An Evolutionary Algorithm for Adversarial SQL Injection Attack Generation;2023 IEEE International Conference on Intelligence and Security Informatics (ISI);2023-10-02

3. Beyond the Basics: A Study of Advanced Techniques for Detecting and Preventing SQL Injection Attacks;2023 4th International Conference on Smart Electronics and Communication (ICOSEC);2023-09-20

4. A study of synergy between programming practices evolution and information disclosure-causing vulnerabilities;Iran Journal of Computer Science;2023-08-26

5. Classification of SQL Injection Attacks using ensemble learning SVM and Naïve Bayes;2023 International Conference on Data Science and Its Applications (ICoDSA);2023-08-09

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