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

Yagmur Yigit; Christos Chrysoulas; Gokhan Yurdakul; Leandros Maglaras; Berk Canberk

doi:10.1109/GCWkshps58843.2023.10465218

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

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	2023 IEEE Globecom Workshops, GC Wkshps 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	178-183
Number of pages	6
ISBN (Electronic)	9798350370218
DOIs	https://doi.org/10.1109/GCWkshps58843.2023.10465218
Publication status	Published - 2023
Externally published	Yes
Event	2023 IEEE Globecom Workshops, GC Wkshps 2023 - Kuala Lumpur, Malaysia Duration: 4 Dec 2023 → 8 Dec 2023

Publication series

Name	2023 IEEE Globecom Workshops, GC Wkshps 2023

Conference

Conference	2023 IEEE Globecom Workshops, GC Wkshps 2023
Country/Territory	Malaysia
City	Kuala Lumpur
Period	4/12/23 → 8/12/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

6G
Cybersecurity
Digital Twins (DT)
Edge of Things (EoT)
Internet of Things (IoT)

Access to Document

10.1109/GCWkshps58843.2023.10465218

Cite this

Yigit, Y., Chrysoulas, C., Yurdakul, G., Maglaras, L., & Canberk, B. (2023). Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. In 2023 IEEE Globecom Workshops, GC Wkshps 2023 (pp. 178-183). (2023 IEEE Globecom Workshops, GC Wkshps 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps58843.2023.10465218

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title = "Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks",

abstract = "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.",

keywords = "6G, Cybersecurity, Digital Twins (DT), Edge of Things (EoT), Internet of Things (IoT)",

author = "Yagmur Yigit and Christos Chrysoulas and Gokhan Yurdakul and Leandros Maglaras and Berk Canberk",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Globecom Workshops, GC Wkshps 2023 ; Conference date: 04-12-2023 Through 08-12-2023",

year = "2023",

doi = "10.1109/GCWkshps58843.2023.10465218",

language = "English",

series = "2023 IEEE Globecom Workshops, GC Wkshps 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Yigit, Y, Chrysoulas, C, Yurdakul, G, Maglaras, L & Canberk, B 2023, Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. in 2023 IEEE Globecom Workshops, GC Wkshps 2023. 2023 IEEE Globecom Workshops, GC Wkshps 2023, Institute of Electrical and Electronics Engineers Inc., pp. 178-183, 2023 IEEE Globecom Workshops, GC Wkshps 2023, Kuala Lumpur, Malaysia, 4/12/23. https://doi.org/10.1109/GCWkshps58843.2023.10465218

Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. / Yigit, Yagmur; Chrysoulas, Christos; Yurdakul, Gokhan et al.
2023 IEEE Globecom Workshops, GC Wkshps 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 178-183 (2023 IEEE Globecom Workshops, GC Wkshps 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yigit, Yagmur

AU - Chrysoulas, Christos

AU - Yurdakul, Gokhan

AU - Maglaras, Leandros

AU - Canberk, Berk

PY - 2023

Y1 - 2023

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AB - 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.

KW - 6G

KW - Cybersecurity

KW - Digital Twins (DT)

KW - Edge of Things (EoT)

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ER -

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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