SQL Injection Detection Based on Lightweight Multi-Head Self-Attention

SQL Injection Detection Based on Lightweight Multi-Head Self-Attention

This paper presents a novel neural network model for the detection of Structured Query Language (SQL) injection attacks for web applications. The model features high detection accuracy, fast inference speed, and low weight size. The model is based on a novel Natural Language Processing (NLP) techniq...

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Bibliographic Details
Main Authors: Rui-Teng Lo, Wen-Jyi Hwang, Tsung-Ming Tai
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Applied Sciences
Subjects:
cyber security
SQL injection detection
natural language processing
machine learning
deep learning
Online Access:https://www.mdpi.com/2076-3417/15/2/571
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