Real-time Network Cyber Situational Awareness in B5G networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F25%3A00141200" target="_blank" >RIV/00216224:14610/25:00141200 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/11080574" target="_blank" >https://ieeexplore.ieee.org/document/11080574</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/NetSoft64993.2025.11080574" target="_blank" >10.1109/NetSoft64993.2025.11080574</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Real-time Network Cyber Situational Awareness in B5G networks

Popis výsledku v původním jazyce

The dynamic nature of beyond 5G network (B5G) topologies imposes continuous and real-time cyber situational awareness (CSA) to make cognitive security orchestration according to the actual context. In this sense, security orchestration decisions such as virtual network security functions placement or (re)configuration of the system to counter cyberthreats can benefit of these kind of CSA models. Traditional infrastructure and service models for CSA such as CRUSOE capture the security posture, missions, networks and assets, that can be used as baseline for cognitive functions such as cyber asset attack surface management, risk-trust assessment as well as detection and mitigation of cyber-attacks. However, these infrastructure data models and tools have not been adapted to complex B5G domains and do not support real-time processing of 6G network traffic that, once supported, can boost context awareness and decision making. This paper describes the design, implementation and evaluation of the extension to the CRUSOE infrastructure model to enable the real-time modeling of 6G network flows, thereby increasing cyber security awareness capabilities in 6G Security Operation Centers (6G-SOC), that ultimately, can help to improve cognitive security management of 6G networks. The implementation and performance evaluation carried out shows promising results to capture and model in real time the dynamicity of 6G network topologies and traffic.

Název v anglickém jazyce

Real-time Network Cyber Situational Awareness in B5G networks

Popis výsledku anglicky

The dynamic nature of beyond 5G network (B5G) topologies imposes continuous and real-time cyber situational awareness (CSA) to make cognitive security orchestration according to the actual context. In this sense, security orchestration decisions such as virtual network security functions placement or (re)configuration of the system to counter cyberthreats can benefit of these kind of CSA models. Traditional infrastructure and service models for CSA such as CRUSOE capture the security posture, missions, networks and assets, that can be used as baseline for cognitive functions such as cyber asset attack surface management, risk-trust assessment as well as detection and mitigation of cyber-attacks. However, these infrastructure data models and tools have not been adapted to complex B5G domains and do not support real-time processing of 6G network traffic that, once supported, can boost context awareness and decision making. This paper describes the design, implementation and evaluation of the extension to the CRUSOE infrastructure model to enable the real-time modeling of 6G network flows, thereby increasing cyber security awareness capabilities in 6G Security Operation Centers (6G-SOC), that ultimately, can help to improve cognitive security management of 6G networks. The implementation and performance evaluation carried out shows promising results to capture and model in real time the dynamicity of 6G network topologies and traffic.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10200 - Computer and information sciences

Projekt

—

Návaznosti

R - Projekt Ramcoveho programu EK

Rok uplatnění

2025

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2025 IEEE 11th International Conference on Network Softwarization (NetSoft)

ISBN

9798331543464

ISSN

2693-9770

e-ISSN

—

Počet stran výsledku

6

Strana od-do

591-596

Název nakladatele

IEEE

Místo vydání

New York, NY

Místo konání akce

Budapest, Hungary

Datum konání akce

23. 6. 2025

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001545288300094