UCD NetsLab
Network Softwarization and Security Labs (NETSLAB) is a research group at the UCD School of Computer Science that mainly focuses on the security and privacy of future mobile networks, including 5G and 6G.
NETSLAB conducts research on various aspects of network softwarization and security, such as network slicing, software-defined networking and edge computing. The team has a particular interest in the use of blockchain and artificial intelligence (AI) to enhance the security of future mobile networks.
NETSLAB actively participates in national, EU, and international research projects and has established collaborative partnerships with industry leaders. This collaboration allows the team to stay up-to-date on the latest trends and innovations in the industry and translate their research into practical applications.
Radio-Signal-Driven IDS using dApps in Open RAN | Demo
Securing xApps in Open RAN | Hierarchical Token-Based Authentication | Demo
Demo: DistilGuard – LLM-Powered Defense Against Poisoning in Federated Learning
Demo: XAI Attack Detector – Safeguarding Explainable AI in Future Networks
MBBPT – Magos Bakri Balloon Placement Training Use Case Validated on UCD NetsLab Open RAN Testbed
NetsLab - introduction
Demo: Power Line Monitoring-based Consensus Algorithm for Smart Grid 2.0
DisLLM: Distributed LLMs for Privacy Assurance in Resource-Constrained Environments
SHIELD - Secure Aggregation against Poisoning in Hierarchical Federated Learning
Enabling Trustworthy Cold Chain Logisticsthrough Blockchain and Machine Learning
Non-Fungible Token Enabled Resource Trading Marketplace for 6G Network Slicing
Explainable AI-based Data Poisoning Attacks Defence for Federated Learning
Radio Spectrum Data Collection with Distributed-Proof-of-Sense Blockchain Network | Demo Video
SECURENET 2024 - Detecting Spectrum Access Violations - Madhusanka Liyanage
SECURENET 2024 - Automated Analysis and Synthesis of Message Authentication Codes - Julian Thomas
SECURENET 2024 - Advances in security and trust for network orchestration/management - Engin Zydan
SECURENET 2024 - Confidential Computing and Privacy-preserving Technologies for 6G - Shushu Liu
SECURENET 2024 - Encryption of the data exchanged in a FL Model using FHE- Christina Karousatou
SECURENET 2024 - Exploring Secure, Intelligent, Programmable SAGINs - Sandra Scott-Hayward
SECURENET 2024 - Detection and Mitigation of Poisoning Attacks in FL - Luis Muñoz-González
SECURENET 2024 - CONFIDENTIAL-6G Project Updates - Vera Stavroulaki
SECURENET 2024 - Introduction to NetsLab - Madhusanka Liyanage -
SECURENET 2023 - Federated Learning Security and Privacy in 6G - Shen Wang
SECURENET 2023 - Establishing Trust in the Data we use to Drive Automation - Aengus Gorey
SECURENET 2023 - Harnessing the Power of Privacy - Nicolas Kourtellis
SECURENET 2023 - Securing Assessment of ML-based systems under realistic attacks - Samuel Marchal
SECURENET 2023 - Explainability for AI-based Cyber Security Solutions - Edgardo Montes de Oca
SECURENET 2023 - H2020 SPATIAL project - Huber Flores
SECURENET 2023 - About CONNECT centre - Dan Kilper
SECURENET 2023 - About UCD School of Computer Science - Neil Hurley