2025 IEEE International Conference on Cyber Security and Resilience

Full Program

Summary:

The expansion of 5G networks increases attack surfaces due to their software-defined and virtualized architecture. Existing security frameworks are not fully equipped for real-time risk assessment in dynamic 5G environments, leaving networks vulnerable to evolving threats. This paper, developed within the European SAND5G project, integrates Snort intrusion detection with a risk assessment framework to dynamically evaluate threats and their impact on 5G infrastructure. Our solution processes intrusion alerts in real-time, correlating them with risk metrics to assess severity and guide mitigation strategies. Preliminary findings indicate improved threat detection accuracy and enhanced incident response, reinforcing cybersecurity in next-generation networks.

Author(s):

Dionysia Varvarigou    
University of Patras
Greece

Kostas Lampropoulos    
University of Patras
Greece

Odysseas Koufopavlou    
University of Patras
Greece

Spyros Denazis    
University of Patras
Greece

Paris Kitsos    
University of Patras and University of Peloponnese
Greece

 


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