Open access
2026
AI-DRIVEN THREAT DETECTION USING DATA SCIENCE: A COMPARATIVE STUDY OF MACHINE LEARNING MODELS ON CYBERSECURITY DATASETS
An AI threat detection framework is proposed, employing data science methods to boost cybersecurity performances and shows that the performance of ensemble learning models is higher than shallow learning models in this research; XGBoost and Random Forest.
Praveen Kumar Reddy Gouni
· International Journal of Soc... · 0 citations