3 papers
cs.LG2025
Feature Importance Guided Random Forest Learning with Simulated Annealing Based Hyperparameter Tuning
Kowshik Balasubramanian, Andre Williams, Ismail Butun
This paper introduces a novel framework for enhancing Random Forest classifiers by integrating probabilistic feature sampling and hyperparameter tuning via Simulated Annealing. The…
cs.CR2025
Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
Md Ahnaf Akif, Ismail Butun, Andre Williams +1
The rapid growth of the Internet of Things (IoT) has revolutionized industries, enabling unprecedented connectivity and functionality. However, this expansion also increases vulner…
cs.CR2024
Enhancing Intrusion Detection in IoT Environments: An Advanced Ensemble Approach Using Kolmogorov-Arnold Networks
Amar Amouri, Mohamad Mahmoud Al Rahhal, Yakoub Bazi +2
In recent years, the evolution of machine learning techniques has significantly impacted the field of intrusion detection, particularly within the context of the Internet of Things…