semantic_scholarTehnički Vjesnik2026-08-15
Enhancing Machine Learning for Anomaly Detection and Classification Using Entropy-Based Dataset Enrichment
TL;DR: A comparison of dataset versions with and without the entropy feature showed that the proposed entropy calculation method improves classification performance, even though the number of features was reduced compared to the original dataset.
: In machine learning and classification, entropy holds significant potential. This paper introduces a method to calculate Shannon entropy across all features within individual records in four IDS datasets: CSE-CIC-IDS2018, CIC-IDS2017, UNSW-NB15, and LUFlow. Each dataset is resh…