Advancements in Detection and Prevention of SQL Injection and Cross-Site Scripting Attacks: A Review (KEY IJP************860)

• Dev Tekwani

Abstract

The present review article analyzes the recent trend of detecting and eradicating SQL Injection (SQLi) and Cross-Site Scripting attacks, which currently hold the top position in web security threats. This paper hereby intends to highlight the importance of machine learning and AI as well as automated vulnerability scanning techniques against malicious attacks based on findings from four key studies. It highlights lacunae in current approaches, for example handling real-time high traffic conditions and class imbalance in the detection dataset. In conclusion, the review suggests some promising ways forward, which include the integration of hybrid AI models, dataset diversity, along with points on developer education and training to enhance web security.