A Study on SQL Injection Detection: AI-based Perspective

A Study on SQL Injection Detection: AI-based Perspective

연구 분야: Databases

학회: 2023 International Conference on Energy, Materials and Communication Engineering (ICEMCE)

Web applications have revolutionized the way we interact with and utilize the internet, offering dynamic and feature-rich experiences. However, alongside their numerous benefits, web applications also pose security challenges, with SQL injection vulnerability being one of the most common and harmful weaknesses. SQL injection attacks have become a prominent concern in web application security, as highlighted on their Network Security Problems released by OWASP. SQL injection attacks present a significant danger to web-based programs, undermining their security and potentially resulting in unapproved access and data violation. This work explores the application of DL techniques to enhance the identification of SQL injection Attacks (SQLiA) in web-based programs, aiming to strengthen their defense mechanisms. The work is going to analyze various ML/DL-based mechanisms in which algorithms have achieved the best accuracy in terms of performance.