Security research thesis
SQL Injection Detection Model
Security-focused model that detects high-risk SQL payload patterns to reduce exploit windows in web applications.
Undergraduate thesis work focused on identifying high-risk SQL injection payload patterns to support earlier detection in web-facing systems.
The approach combines security-oriented feature thinking with practical analysis so findings map to risks developers and defenders care about.
Highlights
- Python-based pipeline for exploring and scoring payload characteristics relevant to SQLi.
- Emphasis on patterns tied to exploit risk rather than generic string matching alone.
- Positioned as academic research with clear ties to web application security practice.