2022 Fourth International Conference on Blockchain Computing and Applications (BCCA) 2022
DOI: 10.1109/bcca55292.2022.9922027
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Trusted AI with Blockchain to Empower Metaverse

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Cited by 27 publications
(13 citation statements)
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References 29 publications
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“…Syed Badruddoja et al [ 31 ] developed blockchain by integrating it with artificial intelligence. They used smart contracts on the Ethereum blockchain.…”
Section: Related Workmentioning
confidence: 99%
“…Syed Badruddoja et al [ 31 ] developed blockchain by integrating it with artificial intelligence. They used smart contracts on the Ethereum blockchain.…”
Section: Related Workmentioning
confidence: 99%
“…Blockchain-Based Security for Metaverse Computing and Storage. In terms of computation in the metaverse, smart contract can be used to improve security of AI models [136] and distributed learning mechanisms [137], [138]. The authors in [136] utilize smart contracts to directly implement AI algorithms such as Linear Regression, Naive Bayes, and Neural Networks to empower the metaverse.…”
Section: Security Countermeasuresmentioning
confidence: 99%
“…In terms of computation in the metaverse, smart contract can be used to improve security of AI models [136] and distributed learning mechanisms [137], [138]. The authors in [136] utilize smart contracts to directly implement AI algorithms such as Linear Regression, Naive Bayes, and Neural Networks to empower the metaverse. By this way, the "AI smart contract" can make cognitive decisions automatically with trust establishment.…”
Section: Security Countermeasuresmentioning
confidence: 99%
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“…The related technologies include metaverse operating system technology, metaverse trusted collaboration network technology, and human-computer interaction technology. Cappannari and Vitillo [47] mentioned that metaverse, as a new paradigm, will demand a whole new set of software platforms, which include enabling platforms (i.e., operating systems, digital stores, realtime engines and frameworks, world tracking and mapping, and cloud rendering), content platforms, human-centered platforms, utility platforms, and application platforms. This paper also emphasizes possible future development of each category [47] .…”
Section: Medical Training and Learningmentioning
confidence: 99%