A DEEP LEARNING BASED SQL INJECTION DETECTION NETWORK FOR ENHANCING CYBERSECURITY

This paper presents a Deep Learning based SQL Injection Detection Network for Enhancing Cybersecurity. A hybrid CNN-LSTM model is proposed to analyze SQL query patterns and detect malicious SQL injection attacks with high accuracy. The system improves web application security and prevents database breaches.

Keywords: SQL Injection, Deep Learning, CNN-LSTM, Cybersecurity