Trusted AI with Blockchain to Empower Metaverse

被引:16
|
作者
Badruddoja, Syed [1 ]
Dantu, Ram [1 ]
He, Yanyan [1 ]
Thompson, Mark [1 ]
Salau, Abiola [1 ]
Upadhyay, Kritagya [1 ]
机构
[1] Univ North Texas, Dept Comp Sci & Engn, Denton, TX 76207 USA
关键词
Blockchain; Artificial Intelligence; Metaverse; Digital Twin; Decentralization; Trust; Security; Smart Contracts;
D O I
10.1109/BCCA55292.2022.9922027
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The digital experience emerging in the virtual world is a reality with the advent of the metaverse. Augmented reality(AR), virtual reality(VR), extended reality(XR), and artificial intelligence(AI) algorithms would pave the way for an immersive experience for the users in the virtual space. However, the explosion of these technologies broaches new challenges to threaten the success of metaverse due to security risks. The blockchain technology augmented with AI promises to deliver a trusted metaverse for everyone. Nevertheless, smart contracts fail to produce a cognitive prediction, dissuading users from confiding in the metaverse. We arm smart contracts with intelligence to predict using AI algorithms. Moreover, we deploy the smart contracts on the Ethereum blockchain platform and produce a prediction accuracy of 95% compared to Python scikit-learn-based predictions. Our results show that the prediction delay can obstruct the growth of metaverse applications to accept blockchain technologies. Furthermore, the limitation of blockchain technology can make integration unreasonable. Therefore, we discuss possible scalability solutions that can be part of our future work to help more metaverse applications adopt blockchain solutions.
引用
收藏
页码:237 / 244
页数:8
相关论文
共 50 条
  • [21] Blockchain Integration in the Era of Industrial Metaverse
    Mourtzis, Dimitris
    Angelopoulos, John
    Panopoulos, Nikos
    [J]. APPLIED SCIENCES-BASEL, 2023, 13 (03):
  • [22] A Survey of Blockchain and Intelligent Networking for the Metaverse
    Fu, Yuchuan
    Li, Changle
    Yu, F. Richard
    Luan, Tom H.
    Zhao, Pincan
    Liu, Sha
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2023, 10 (04) : 3587 - 3610
  • [23] Blockchain Based Metaverse Ecosystem Achitecture
    Li, Ming
    Song, Wenpeng
    Zong, Yan
    Liu, Mianchen
    [J]. Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2024, 61 (09): : 2364 - 2383
  • [24] Test Catalog for trusted AI
    不详
    [J]. INFORMATION-WISSENSCHAFT UND PRAXIS, 2021, 72 (5-6): : 345 - 345
  • [25] Meta-Governance: Blockchain-Driven Metaverse Platform for Mitigating Misbehavior Using Smart Contract and AI
    Rahaman, Md Facklasur
    Golam, Mohtasin
    Subhan, Md Raihan
    Tuli, Esmot Ara
    Kim, Dong-Seong
    Lee, Jae-Min
    [J]. IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2024, 21 (04): : 4024 - 4038
  • [26] Metaverse in Healthcare Integrated with Explainable AI and Blockchain: Enabling Immersiveness, Ensuring Trust, and Providing Patient Data Security
    Ali, Sikandar
    Abdullah, Tagne Poupi Theodore
    Armand, Tagne Poupi Theodore
    Athar, Ali
    Hussain, Ali
    Ali, Maisam
    Yaseen, Muhammad
    Joo, Moon-Il
    Kim, Hee-Cheol
    [J]. SENSORS, 2023, 23 (02)
  • [27] Blockchain Methods for Trusted Avionics Systems
    Blasch, Erik
    Xu, Ronghua
    Chen, Yu
    Chen, Genshe
    Shen, Dan
    [J]. PROCEEDINGS OF THE 2019 IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE (NAECON), 2019, : 192 - 199
  • [28] Building Trusted Federated Learning on Blockchain
    Oktian, Yustus Eko
    Stanley, Brian
    Lee, Sang-Gon
    [J]. SYMMETRY-BASEL, 2022, 14 (07):
  • [29] Editorial: Blockchain for trusted information systems
    Meroni, Giovanni
    Comuzzi, Marco
    Koepke, Julius
    [J]. FRONTIERS IN BLOCKCHAIN, 2023, 6
  • [30] Application of Blockchain in Trusted Data Provenance
    Mao, Xiangke
    Li, Chao
    Zhang, Guigang
    Wei, Xin
    Xing, Chunxiao
    [J]. 2022 IEEE 22ND INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY, AND SECURITY COMPANION, QRS-C, 2022, : 106 - 112