Deep Learning Architecture for Detecting SQL Injection Attacks Based on RNN Autoencoder Model

SQL injection attacks are one of the most common types of attacks on Web applications. These attacks exploit vulnerabilities in an application’s database access mechanisms, allowing attackers to execute unauthorized SQL queries. In this study, we propose an architecture for detecting SQL injection a...

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Главные авторы:	Maha Alghawazi, Daniyal Alghazzawi, Suaad Alarifi
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-07-01
Серии:	Mathematics
Предметы:	SQL injection attacks recurrent neural network (RNN) autoencoder ANN CNN decision tree naive Bayes
Online-ссылка:	https://www.mdpi.com/2227-7390/11/15/3286
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