Jin-Lei Gu

A Comparative Analysis of Tuned and Untuned Machine Learning Models for Cybersecurity Intrusion Detection

This study benchmarks tuned and untuned machine learning models for intrusion detection across a 63-class attack taxonomy using the Cybersecurity Attack and Defense Dataset ($n=14{,}133$). A leakage-safe pipeline is designed, fitting all encoders and scalers exclusively on training data. Nine models are evaluated: five...