ENHANCING CYBER SECURITY MEASURES FOR 6G NETWORK DEEP DIVE INTO RISK ASSESSMENT AND RISK MITIGATION

Autores/as

  • Shammi Wasim, Dr Jameel Ahmad Autor/a

DOI:

https://doi.org/10.48047/tdkvqk33

Palabras clave:

6G, cybersecurity, risk assessment, IDS, cyber-attacks, machine learning, secure network slicing, IoT security, user privacy.

Resumen

Launching 6G networks brings radical changes in connectivity that open the path for ultra-low latency, record-breaking data speeds, and an explosion of smart devices and applications. As network infrastructures are becoming more complex and varied, cybersecurity threats are growing along with these benefits. With an eye on enhancing 6G network cybersecurity, this paper 
delves closely into risk assessment and mitigating strategies. 

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Referencias

Blika, A., Palmos, S., Doukas, G., Lamprou, V., Pelekis, S., Kontoulis, M., ... & Askounis, D. (2024). Federated Learning For Enhanced Cybersecurity And Trustworthiness In 5G and 6G Networks: A Comprehensive Survey. IEEE Open Journal of the Communications Society.

Ziegler, V., Schneider, P., Viswanathan, H., Montag, M., Kanugovi, S., & Rezaki, A. (2021). Security and Trust in the 6G Era. Ieee Access, 9, 142314-142327.

Nguyen, V. L., Lin, P. C., Cheng, B. C., Hwang, R. H., & Lin, Y. D. (2021). Security and privacy for 6G: A survey on prospective technologies and challenges. IEEE Communications Surveys & Tutorials, 23(4), 2384-2428

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Publicado

2025-02-20

Cómo citar

ENHANCING CYBER SECURITY MEASURES FOR 6G NETWORK DEEP DIVE INTO RISK ASSESSMENT AND RISK MITIGATION (Shammi Wasim, Dr Jameel Ahmad , Trans.). (2025). Cuestiones De Fisioterapia, 54(4), 1393-1407. https://doi.org/10.48047/tdkvqk33