activity
20222026
most citedAn Intrusion Detection System based on Deep Belief Networks

69 citations · 88 across the 13 of their papers we have counts for

collaborators
Showing 2023Show all

5 papers · 1 filter

cs.CR2023

Cybersecurity in Motion: A Survey of Challenges and Requirements for Future Test Facilities of CAVs

Ioannis Mavromatis, Theodoros Spyridopoulos, Pietro Carnelli +12

The way we travel is changing rapidly, and Cooperative Intelligent Transportation Systems (C-ITSs) are at the forefront of this evolution. However, the adoption of C-ITSs introduce…

cs.LG2023

FROST: Towards Energy-efficient AI-on-5G Platforms -- A GPU Power Capping Evaluation

Ioannis Mavromatis, Stefano De Feo, Pietro Carnelli +2

The Open Radio Access Network (O-RAN) is a burgeoning market with projected growth in the upcoming years. RAN has the highest CAPEX impact on the network and, most importantly, con…

cs.CR2023★ 3 cited

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…

cs.LG2023

FLARE: Detection and Mitigation of Concept Drift for Federated Learning based IoT Deployments

Theo Chow, Usman Raza, Ioannis Mavromatis +1

Intelligent, large-scale IoT ecosystems have become possible due to recent advancements in sensing technologies, distributed learning, and low-power inference in embedded devices.…

cs.LG2023★ 1 cited

Hierarchical and Decentralised Federated Learning

Omer Rana, Theodoros Spyridopoulos, Nathaniel Hudson +4

Federated learning has shown enormous promise as a way of training ML models in distributed environments while reducing communication costs and protecting data privacy. However, th…