IEEE-CSR - Peer Review & Conference Management System

Summary:

The complexity and dynamic nature of beyond 5G (B5G) networks introduce challenges within the realm of cybersecurity particularly in detecting and mitigating novel threats. This paper presents a comprehensive experimental environment for generating and detecting attacks within 5G and B5G networks. Thus our setup integrates the Attack Generation Engine (AGE) and an AI-augmented Intrusion Detection System (IDS) deployed on the Centre for Research and Technology Hellas (CERTH) 5G testbed. The attack generator is designed to emulate realistic threat scenarios targeting the Radio Access Network (RAN) and core components including Denial of Service (DoS) attacks on gNodeBs Non-Access Stratum (NAS) message tampering and User Plane Function (UPF) exploitation. Using the generated traffic we construct a labelled dataset representative of real world 5G attack patterns. We then evaluate multiple AI-based IDS models including LSTMs Graph Neural Networks (GNNs) and Transformer-based architectures to determine their effectiveness in detecting these threats. The evaluation of

Author(s):

George Lazaridis
Centre for Research and Technology Hellas
Greece

George Lazaridis received his B.Sc. diploma in Electronic Engineering from the Alexander Technological Educational Institute of Thessaloniki, Greece in December 2014. In the context of his 6-month compulsory internship, he was accepted by Kingston University London as an Intern Research Associate at the Digital Information Research Centre (DIRC), in order to work for the EU FP7 project called “PROACTIVE”. In the context of his undergrad thesis, he designed from scratch an Unmanned Aerial Vehicle (UAV) for aerial monitoring using image processing algorithms. In July 2019 he completed his postgraduate studies in Applied Informatics from the University of Macedonia, receiving his M.Sc. diploma in network security. In July 2021, he was accepted by the Department of Information and Electronic Engineering of the International Hellenic University, as a Ph.D. candidate. Since November 2016 he has been working as a research associate at the Informatics and Telematics Institute of the Centre for Research and Technology Hellas (CERTH).

Amalia Damianou
Centre for Research and Technology Hellas
Greece

Antonios Lalas
Centre for Research and Technology Hellas
Greece

Periklis Chatzimisios
International Hellenic University
Greece

Konstantinos Votis
Centre for Research and Technology Hellas
Greece

Dimitrios Tzovaras
Centre for Research and Technology Hellas
Greece