TY - GEN
T1 - PolyTwin
T2 - 2nd IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
AU - Cao, Yinfeng
AU - Cao, Jiannong
AU - Cui, Zeyang
AU - Bai, Dongbin
AU - Zhang, Mingjin
AU - Wen, Long
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Digital Twin (DT) is increasingly being adopted into the metaverse to enhance its immersiveness by creating virtual representations of physical objects. A major unsolved challenge of this adoption is ensuring the trustworthiness of DT, which requires that the mapped virtual object is strictly consistent with its corresponding physical object. However, existing metaverse/DT platforms either rely on specialized equipment or use a centralized solution, which is infeasible to be applied on a large scale. In this paper, we study the trustworthy issue of DT for the metaverse. We propose PolyTwin, a novel edge blockchain-enabled trustworthy DT network for the metaverse. PolyTwin deploys sensors and edge devices with AI models in the physical world to collect multiple attributes of physical objects for efficiently generating digital twins. To further enhance the trustworthiness of the generated DT, we introduce a Proof of Consistency (PoC) mechanism. PoC iteratively verifies whether edge devices produce consistent inference results, thus avoiding inconsistent results caused by model inaccuracy or malicious edge devices. Lastly, we evaluate PolyTwin through its two prototypes, PolyCampus and PolyExchange, which both enable immersive physical-to-virtual interaction in the metaverse. Experimental results show that PolyTwin is practical in terms of latency and security.
AB - Digital Twin (DT) is increasingly being adopted into the metaverse to enhance its immersiveness by creating virtual representations of physical objects. A major unsolved challenge of this adoption is ensuring the trustworthiness of DT, which requires that the mapped virtual object is strictly consistent with its corresponding physical object. However, existing metaverse/DT platforms either rely on specialized equipment or use a centralized solution, which is infeasible to be applied on a large scale. In this paper, we study the trustworthy issue of DT for the metaverse. We propose PolyTwin, a novel edge blockchain-enabled trustworthy DT network for the metaverse. PolyTwin deploys sensors and edge devices with AI models in the physical world to collect multiple attributes of physical objects for efficiently generating digital twins. To further enhance the trustworthiness of the generated DT, we introduce a Proof of Consistency (PoC) mechanism. PoC iteratively verifies whether edge devices produce consistent inference results, thus avoiding inconsistent results caused by model inaccuracy or malicious edge devices. Lastly, we evaluate PolyTwin through its two prototypes, PolyCampus and PolyExchange, which both enable immersive physical-to-virtual interaction in the metaverse. Experimental results show that PolyTwin is practical in terms of latency and security.
KW - Blockchain
KW - Digital Twin
KW - Edge Computing
KW - Metaverse
UR - https://www.scopus.com/pages/publications/85211430496
U2 - 10.1109/MetaCom62920.2024.00026
DO - 10.1109/MetaCom62920.2024.00026
M3 - Conference article published in proceeding or book
AN - SCOPUS:85211430496
T3 - Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
SP - 81
EP - 88
BT - Proceedings - 2024 IEEE International Conference on Metaverse Computing, Networking, and Applications, MetaCom 2024
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 12 August 2024 through 14 August 2024
ER -