Özet
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.
Orijinal dil | İngilizce |
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Ana bilgisayar yayını başlığı | Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
Sayfalar | 342-348 |
Sayfa sayısı | 7 |
ISBN (Elektronik) | 9781665495127 |
DOI'lar | |
Yayın durumu | Yayınlandı - 2022 |
Etkinlik | 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 - Los Angeles, United States Süre: 30 May 2022 → 1 Haz 2022 |
Yayın serisi
Adı | Proceedings - 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 |
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???event.eventtypes.event.conference??? | 18th Annual International Conference on Distributed Computing in Sensor Systems, DCOSS 2022 |
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Ülke/Bölge | United States |
Şehir | Los Angeles |
Periyot | 30/05/22 → 1/06/22 |
Bibliyografik not
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