Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network

Mehmet Ozgen Ozdogan; Levent Carkacioglu; Berk Canberk

doi:10.1109/DCOSS54816.2022.00062

Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network

Mehmet Ozgen Ozdogan, Levent Carkacioglu, Berk Canberk

Department of Artificial Intelligence and Data Engineering

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

22 Citations (Scopus)

Abstract

With the rapid development of intelligent devices in wireless communication, the fifth generation (5G) mobile networks have limited high data rates, low latency, high avail-ability demands. The sixth-generation (6G) mobile network can use Digital-twin (DT) techniques to meet these demands. DT is the virtual representation of physical aspects such as 6G edge nodes. DT optimize the 6G edge nodes parameters using artificial intelligence (AI) and especially machine learning (ML) algorithms. However, AI and ML bring along privacy and security concerns. Therefore, user data must be protected from unauthorized persons during the 6G edge network recovery and expansion phases. In this paper, we proposed a new reliable Digital Twin-based 6G edge network recovery framework using Blockchain technology. We applied the Transfer Learning (TL) technique to improve our proposed framework's performance. We ensured data privacy and security using TL and Blockchain.

Original language	English
Title of host publication	Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	342-348
Number of pages	7
ISBN (Electronic)	9781665495127
DOIs	https://doi.org/10.1109/DCOSS54816.2022.00062
Publication status	Published - 2022
Event	18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 - Los Angeles, United States Duration: 30 May 2022 → 1 Jun 2022

Publication series

Name	Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022

Conference

Conference	18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022
Country/Territory	United States
City	Los Angeles
Period	30/05/22 → 1/06/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

6G edge recovery
blockchain
digital twin networks
knowledge sharing
transfer learning

Access to Document

10.1109/DCOSS54816.2022.00062

Cite this

Ozdogan, M. O., Carkacioglu, L., & Canberk, B. (2022). Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network. In Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 (pp. 342-348). (Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DCOSS54816.2022.00062

Ozdogan, Mehmet Ozgen ; Carkacioglu, Levent ; Canberk, Berk. / Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network. Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. pp. 342-348 (Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022).

@inproceedings{b070a77651f244668627dc28d51052ed,

title = "Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network",

abstract = "With the rapid development of intelligent devices in wireless communication, the fifth generation (5G) mobile networks have limited high data rates, low latency, high avail-ability demands. The sixth-generation (6G) mobile network can use Digital-twin (DT) techniques to meet these demands. DT is the virtual representation of physical aspects such as 6G edge nodes. DT optimize the 6G edge nodes parameters using artificial intelligence (AI) and especially machine learning (ML) algorithms. However, AI and ML bring along privacy and security concerns. Therefore, user data must be protected from unauthorized persons during the 6G edge network recovery and expansion phases. In this paper, we proposed a new reliable Digital Twin-based 6G edge network recovery framework using Blockchain technology. We applied the Transfer Learning (TL) technique to improve our proposed framework's performance. We ensured data privacy and security using TL and Blockchain.",

keywords = "6G edge recovery, blockchain, digital twin networks, knowledge sharing, transfer learning",

author = "Ozdogan, \{Mehmet Ozgen\} and Levent Carkacioglu and Berk Canberk",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 ; Conference date: 30-05-2022 Through 01-06-2022",

year = "2022",

doi = "10.1109/DCOSS54816.2022.00062",

language = "English",

series = "Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022",

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

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Ozdogan, MO, Carkacioglu, L & Canberk, B 2022, Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network. in Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022. Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022, Institute of Electrical and Electronics Engineers Inc., pp. 342-348, 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022, Los Angeles, United States, 30/05/22. https://doi.org/10.1109/DCOSS54816.2022.00062

Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network. / Ozdogan, Mehmet Ozgen; Carkacioglu, Levent; Canberk, Berk.
Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022. Institute of Electrical and Electronics Engineers Inc., 2022. p. 342-348 (Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022).

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

TY - GEN

T1 - Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network

AU - Ozdogan, Mehmet Ozgen

AU - Carkacioglu, Levent

AU - Canberk, Berk

PY - 2022

Y1 - 2022

N2 - With the rapid development of intelligent devices in wireless communication, the fifth generation (5G) mobile networks have limited high data rates, low latency, high avail-ability demands. The sixth-generation (6G) mobile network can use Digital-twin (DT) techniques to meet these demands. DT is the virtual representation of physical aspects such as 6G edge nodes. DT optimize the 6G edge nodes parameters using artificial intelligence (AI) and especially machine learning (ML) algorithms. However, AI and ML bring along privacy and security concerns. Therefore, user data must be protected from unauthorized persons during the 6G edge network recovery and expansion phases. In this paper, we proposed a new reliable Digital Twin-based 6G edge network recovery framework using Blockchain technology. We applied the Transfer Learning (TL) technique to improve our proposed framework's performance. We ensured data privacy and security using TL and Blockchain.

AB - With the rapid development of intelligent devices in wireless communication, the fifth generation (5G) mobile networks have limited high data rates, low latency, high avail-ability demands. The sixth-generation (6G) mobile network can use Digital-twin (DT) techniques to meet these demands. DT is the virtual representation of physical aspects such as 6G edge nodes. DT optimize the 6G edge nodes parameters using artificial intelligence (AI) and especially machine learning (ML) algorithms. However, AI and ML bring along privacy and security concerns. Therefore, user data must be protected from unauthorized persons during the 6G edge network recovery and expansion phases. In this paper, we proposed a new reliable Digital Twin-based 6G edge network recovery framework using Blockchain technology. We applied the Transfer Learning (TL) technique to improve our proposed framework's performance. We ensured data privacy and security using TL and Blockchain.

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KW - knowledge sharing

KW - transfer learning

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M3 - Conference contribution

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SP - 342

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BT - Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022

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Ozdogan MO, Carkacioglu L, Canberk B. Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network. In Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022. Institute of Electrical and Electronics Engineers Inc. 2022. p. 342-348. (Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022). doi: 10.1109/DCOSS54816.2022.00062

Digital Twin Driven Blockchain Based Reliable and Efficient 6G Edge Network

Abstract

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Keywords

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