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

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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Bibliographic Details
Main Authors: Maha Alghawazi, Daniyal Alghazzawi, Suaad Alarifi
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Mathematics
Subjects:
SQL injection attacks
recurrent neural network (RNN) autoencoder
ANN
CNN
decision tree
naive Bayes
Online Access:https://www.mdpi.com/2227-7390/11/15/3286

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