2 papers
cs.LG2025
Fine-Tuning Federated Learning-Based Intrusion Detection Systems for Transportation IoT
Robert Akinie, Nana Kankam Brym Gyimah, Mansi Bhavsar +1
The rapid advancement of machine learning (ML) and on-device computing has revolutionized various industries, including transportation, through the development of Connected and Aut…
cs.LG2024
An AutoML-based approach for Network Intrusion Detection
Nana Kankam Gyimah, Judith Mwakalonge, Gurcan Comert +6
In this paper, we present an automated machine learning (AutoML) approach for network intrusion detection, leveraging a stacked ensemble model developed using the MLJAR AutoML fram…