Emilio Paolini

In-GPU GNN-based Intrusion Detection System

Ahmed Salah Tawfik Ibrahim, Emilio Paolini, Filippo Cugini, Francesco Paolucci

Graph Neural Networks (GNNs) have proven effective for intrusion detection by modeling the relational structure of network traffic. However, the high cost of graph construction often dominates the overall prediction time, limiting real-time applicability. In this work, we propose a GPU-accelerated framework …

Continual Learning for Optical-Network Soft-Failure Monitoring via Elastic Weight Consolidation

Emilio Paolini, Andrea Sgambelluri, P. Castoldi, Luca Valcarenghi et autres

A Systematic Scoping Review of Network Digital Twin-Enabled Software-Defined Networking Management: An Implementation-Oriented Taxonomy

Emilio Paolini, Ayodeji Oludola OLUWATOPE, Luca Valcarenghi, Temitope Emmanuel Komolafe

This project presents a systematic scoping review of Network Digital Twin-enabled Software-Defined Networking (SDN) management. Using the PRISMA-ScR framework, 21 peer-reviewed studies published between 2018 and 2026 were analysed and classified into a six-dimensional taxonomy. The review highlights implementation trends, gaps in …

Cross-layer UAV Dataset for 6G AI-driven Analytics

Francesco Paolucci, Emilio Paolini, Massimo Satler, Michelangelo Guaitolini et autres

This work presents a cross-layer dataset collected in a 5G testbed with a UAV acting as a mobile user equipment. The dataset includes synchronized UAV mobility measurements, radio access network metrics from O-RAN disaggregated DU, CU, and UE, and application-level performance metrics …

it (code pays fourni par la source)

Cross-layer UAV Dataset for 6G AI-driven Analytics

Francesco Paolucci, Emilio Paolini, Massimo Satler, Michelangelo Guaitolini et autres

This work presents a cross-layer dataset collected in a 5G testbed with a UAV acting as a mobile user equipment. The dataset includes synchronized UAV mobility measurements, radio access network metrics from O-RAN disaggregated DU, CU, and UE, and application-level performance metrics …

it (code pays fourni par la source)

6G-LEADER Cross-Layer Dataset 2026 version 2 (6GL-CLD26_v2)

Francesco Paolucci, Emilio Paolini, Massimo Satler, Michelangelo Guaitolini et autres

6G-LEADER Cross-Layer Dataset 2026 version 2 (6GL-CLD26_v2). This dataset contains cross-layer measurements collected during indoor UAV flight missions connected to a 5G O-RAN network. The dataset includes synchronized data from UAV telemetry, RAN measurements, and application-level traffic measurements including Quality of Experience …

it (code pays fourni par la source)

6G-LEADER Cross-Layer Dataset 2026 version 2 (6GL-CLD26_v2)

Francesco Paolucci, Emilio Paolini, Massimo Satler, Michelangelo Guaitolini et autres

6G-LEADER Cross-Layer Dataset 2026 version 2 (6GL-CLD26_v2). This dataset contains cross-layer measurements collected during indoor UAV flight missions connected to a 5G O-RAN network. The dataset includes synchronized data from UAV telemetry, RAN measurements, and application-level traffic measurements including Quality of Experience …

it (code pays fourni par la source)

End-to-end latency assurance for distributed augmented reality over programmable 6G networks: A DESIRE6G demonstration

Francesco Paolucci, Emilio Paolini, Faris Alhamed, Massimo Satler et autres

6G networks are expected to deliver ultra-low latency, high reliability, and real-time intelligence for emerging services such as interactive Augmented Reality (AR), autonomous robotics, and digital twins. Achieving these requirements in practice demands tight coordination between networking, computing, and control domains, spanning …

DDoS Adversarial Attacks Detection with Deep Neural Networks in P4 Programmable Switches

Giulio Zingrillo, Layal Ismail, Emilio Paolini, Francesco Paolucci et autres

it (code pays fourni par la source)

Federated Intrusion Detection with Key-Value Cached Transformers in 5G RANs

Andrea Di Matteo, Emilio Paolini, Luca Valcarenghi, Nicola Andriolli

it (code pays fourni par la source)

Online Discovery and Incremental Learning of Unknown Soft Failures in Optical Networks

Azarm Yeganehfallah, Emilio Paolini, Andrea Sgambelluri, Luca Valcarenghi

it (code pays fourni par la source)

Network Acceleration for AI Workloads in Telco Networks

Filippo Cugini, Ahmed Salah Tawfik Ibrahim, Rana Abu Bakar, Francesco Paolucci et autres

it, es, de, gb (code pays fourni par la source)