Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks

Yagmur Yigit*, Christos Chrysoulas*, Gokhan Yurdakul, Leandros Maglaras*, Berk Canberk*

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

5 Atıf (Scopus)

Özet

As global Internet of Things (IoT) devices connectivity surges, a significant portion gravitates towards the Edge of Things (EoT) network. This shift prompts businesses to deploy infrastructure closer to end-users, enhancing accessibility. However, the growing EoT network expands the attack surface, necessitating robust and proactive security measures. Traditional solutions fall short against dynamic EoT threats, highlighting the need for proactive and intelligent systems. We introduce a digital twin-empowered smart attack detection system for 6G EoT networks. Leveraging digital twin and edge computing, it monitors and simulates physical assets in real time, enhancing security. An online learning module in the proposed system optimizes the network performance. Our system excels in proactive threat detection, ensuring 6G EoT network security. The performance evaluations demonstrate its effectiveness, robustness, and adaptability using real datasets.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2023 IEEE Globecom Workshops, GC Wkshps 2023
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar178-183
Sayfa sayısı6
ISBN (Elektronik)9798350370218
DOI'lar
Yayın durumuYayınlandı - 2023
Harici olarak yayınlandıEvet
Etkinlik2023 IEEE Globecom Workshops, GC Wkshps 2023 - Kuala Lumpur, Malaysia
Süre: 4 Ara 20238 Ara 2023

Yayın serisi

Adı2023 IEEE Globecom Workshops, GC Wkshps 2023

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???event.eventtypes.event.conference???2023 IEEE Globecom Workshops, GC Wkshps 2023
Ülke/BölgeMalaysia
ŞehirKuala Lumpur
Periyot4/12/238/12/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

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