2 papers
cs.CR2026
A Crowdsensing Intrusion Detection Dataset For Decentralized Federated Learning Models
Chao Feng, Alberto Huertas Celdran, Jing Han +6
This paper introduces a dataset and an experimental study on Decentralized Federated Learning (DFL) for Internet of Things (IoT) crowdsensing malware detection. The dataset compris…
cs.CR2026
Dynamic Management of a Deep Learning-Based Anomaly Detection System for 5G Networks
Lorenzo Fernández Maimó, Alberto Huertas Celdrán, Manuel Gil Pérez +2
Fog and mobile edge computing (MEC) will play a key role in the upcoming fifth generation (5G) mobile networks to support decentralized applications, data analytics and management…