69 citations · 72 across the 3 of their papers we have counts for
3 papers
Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi +3
In this paper, a dataset of IoT network traffic is presented. Our dataset was generated by utilising the Gotham testbed, an emulated large-scale Internet of Things (IoT) network de…
Federated Deep Learning for Intrusion Detection in IoT Networks
Othmane Belarbi, Theodoros Spyridopoulos, Eirini Anthi +3
The vast increase of Internet of Things (IoT) technologies and the ever-evolving attack vectors have increased cyber-security risks dramatically. A common approach to implementing…
An Intrusion Detection System based on Deep Belief Networks
Othmane Belarbi, Aftab Khan, Pietro Carnelli +1
The rapid growth of connected devices has led to the proliferation of novel cyber-security threats known as zero-day attacks. Traditional behaviour-based IDS rely on DNN to detect…