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

https://doi.org/10.3390/math11153286
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Security and Communication Networks
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inferredcites →https://doi.org/10.1016/j.ymssp.2020.107322openalex-snapshot
Analysis of different RNN autoencoder variants for time series classification and machine prognostics
inferredcites →https://doi.org/10.1088/1742-6596/1757/1/012055openalex-snapshot
SQL Injection Attack Detection and Prevention Techniques Using Deep Learning
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inferredcites →https://doi.org/10.1109/centcon52345.2021.9688059openalex-snapshot
A Novel Method of Honeypot Inclusive WAF to Protect from SQL Injection and XSS
inferredcites →https://doi.org/10.1109/icaaic53929.2022openalex-snapshot
2022 International Conference on Applied Artificial Intelligence and Computing (ICAAIC)
inferredcites →https://doi.org/10.1109/icaaic53929.2022.9792964openalex-snapshot
SQL Injection Attack Detection by Machine Learning Classifier
inferredcites →https://doi.org/10.1109/iccicct.2014.6993127openalex-snapshot
SQL Injection detection using machine learning
inferredcites →https://doi.org/10.1145/3395363.3397375openalex-snapshot
DeepSQLi: deep semantic learning for testing SQL injection
inferredcites →https://doi.org/10.1145/3416013.3426457openalex-snapshot
Network Anomaly Detection Using LSTM Based Autoencoder
inferredcites →https://doi.org/10.1145/3487923.3487938openalex-snapshot
Adaptive Machine Learning Based Network Intrusion Detection
inferredcites →https://doi.org/10.1155/2022/4836289openalex-snapshot
Deep Neural Network-Based SQL Injection Detection Method
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LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS)
inferredcites →https://doi.org/10.47059/revistageintec.v11i3.1939openalex-snapshot
SQL Injection Detection Using Machine Learning

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Analysis of SQL injection attacks in the cloud and in WEB applications
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Hybrid BERT-BiLSTM Model for SQL Injection Detection: Potential Applications in Banking Information Systems
inferred← citeshttps://doi.org/10.1007/978-981-92-0202-7_15openalex-snapshot
A Systematic Literature Review on SQL Injection Attack Detection Using Deep Learning and Large Language Models
inferred← citeshttps://doi.org/10.1007/978-981-96-3250-3_3openalex-snapshot
Support Vector Machines and Slime Mold Optimization Algorithms for SQL Injection Detection
inferred← citeshttps://doi.org/10.1007/978-981-96-5214-3_23openalex-snapshot
Code Injection Attack Evaluation Using Block Chain Technology with AI Using RNN
inferred← citeshttps://doi.org/10.1007/978-981-97-7592-7_12openalex-snapshot
An Attention Module Integrated Deep Learning Architecture with BERT to Detect SQL Injection Attacks
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Explainable artificial intelligence for web application threat detection: a systematic review
inferred← citeshttps://doi.org/10.1007/s10878-025-01379-zopenalex-snapshot
Structured query language injection attack detection via giant magnificent frigatebird optimization and federated learning
inferred← citeshttps://doi.org/10.1007/s11227-025-07109-wopenalex-snapshot
Sql injection detection algorithm based on Bi-LSTM and integrated feature selection
inferred← citeshttps://doi.org/10.1007/s12198-023-00269-xopenalex-snapshot
Securing transportation web applications: An AI-driven approach to detect and mitigate SQL injection attacks
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An effective SQL injection detection model using LSTM for imbalanced datasets
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Big data analytics deep learning techniques and applications: A survey
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An analysis of AI-based SQL injection attack detection
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Parameter optimization of one-class support vector machine for detecting SQL injection attacks
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DDBMS cybersecurity using hybrid bidirectional encoder representations from transformers and convolutional long short-term memory with multi-factor authentication
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AE-Net: Novel Autoencoder-Based Deep Features for SQL Injection Attack Detection
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TDNET: A Dual-Channel Injection Attack Detection Framework for Web Application Firewalls
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Comparative Analysis of SQLi Detection Models
inferred← citeshttps://doi.org/10.1109/gcitc60406.2023.10426458openalex-snapshot
Machine Learning-Based Detection and Mitigation of XML SQL Injection Attacks
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Evolving SQL Injection Attacks Detector Using Slime Mould Algorithm
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SentinelQuery: An Intelligent Dual-Layer Detection Framework for Boolean-based Blind Structured Query Language Injections in Artificial Intelligence Driven Threat Environments
inferred← citeshttps://doi.org/10.1109/iccbi68589.2026.11619852openalex-snapshot
Automated Detection of Injection Attacks in Web Applications using Deep Learning Models
inferred← citeshttps://doi.org/10.1109/icccit62592.2025.10928035openalex-snapshot
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Aero-SecureNet: Transformer-powered Data Injection Attacks Detection Framework for 5G-enabled Aerospace IoT Networks
inferred← citeshttps://doi.org/10.1109/icecte69292.2026.11429468openalex-snapshot
CyberBiLSTM: A Bidirectional LSTM Architecture for Cybersecurity via High-Precision SQL Injection Attack Detection
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inferred← citeshttps://doi.org/10.1109/ispds62779.2024.10667632openalex-snapshot
Feature Fusion-Based Detection of SQL Injection and XSS Attacks
inferred← citeshttps://doi.org/10.1109/mapr72750.2026.11685688openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/ngdn66208.2025.11182140openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/nmitcon65824.2025.11188186openalex-snapshot
Automata-Based Model for SQL Injection Pattern Recognition
inferred← citeshttps://doi.org/10.1109/wccst67302.2026.11495672openalex-snapshot
Lightweight Machine Learning Approaches for SQL Injection Identification in Modern Web Applications
inferred← citeshttps://doi.org/10.1117/12.3012620openalex-snapshot
Deep learning approaches to SQL injection detection: evaluating ANNs, CNNs, and RNNs
inferred← citeshttps://doi.org/10.12720/jait.17.9.1752-1758openalex-snapshot
A Structured Query Language (SQL) Injection Attack Detection Based on Probabilistic Neural Network
inferred← citeshttps://doi.org/10.23919/indiacom66777.2025.11115739openalex-snapshot
Deep Learning Based Hybrid Architecture Combining BERT and TCNN for SQL Injection Threat Mitigation
inferred← citeshttps://doi.org/10.24147/2222-8772.2024.4.111-124openalex-snapshot
AI capabilities in cybersecurity: detection, prevention and response to SQL injections, XSS, and CSRF attacks
inferred← citeshttps://doi.org/10.31893/multirev.2027043openalex-snapshot
Current trends and research gaps in SQL injection simulation and mitigation for IaaS: A systematic review
inferred← citeshttps://doi.org/10.3389/fdata.2025.1686479openalex-snapshot
Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers
inferred← citeshttps://doi.org/10.3390/app16104691openalex-snapshot
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inferred← citeshttps://doi.org/10.3390/computers15060368openalex-snapshot
Deployment-Oriented Multi-Embedding Machine Learning Framework for SQL Injection Detection and Prevention in a Web Application Firewall
inferred← citeshttps://doi.org/10.3390/electronics14173420openalex-snapshot
Machine Learning Models for SQL Injection Detection
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Detecting Structured Query Language Injections in Web Microservices Using Machine Learning
inferred← citeshttps://doi.org/10.38124/ijisrt/25mar1676openalex-snapshot
Detecting and Mitigating SQL Injection in .NET Applications Using AI-Based Anomaly Detection
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Web Exploits Unveiled a Comprehensive Study on SQL Injection Attacks and Mitigation
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Securing Darknet Web Applications
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Designing a Detection Model for SQL Injection Attack
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Advanced deep learning framework for detecting SQL injection attacks based on GRU Model
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SQL Injection Attack Detection Using Machine Learning Methods
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A comparative evaluation of large language models for detecting SQL injection vulnerabilities in web applications
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