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Link to original content: https://doi.org/10.1145/3657284

Artificial Intelligence for Web 3.0: A Comprehensive Survey | ACM Computing Surveys

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Artificial Intelligence for Web 3.0: A Comprehensive Survey

Authors:

Xuemin (Sherman) ShenAuthors Info & Claims

ACM Computing Surveys, Volume 56, Issue 10

Article No.: 247, Pages 1 - 39

https://doi.org/10.1145/3657284

Published: 14 May 2024 Publication History

Abstract

Web 3.0 is the next generation of the Internet built on decentralized technologies such as blockchain and cryptography. It is born to solve the problems faced by the previous generation of the Internet such as imbalanced distribution of interests, monopoly of platform resources, and leakage of personal privacy. In this survey, we discuss the latest development status of Web 3.0 and the application of emerging AI technologies in it. First, we investigate the current successful practices of Web 3.0 and various components in the current Web 3.0 ecosystem and thus propose the hierarchical architecture of the Web 3.0 ecosystem from the perspective of application scenarios. The architecture we proposed contains four layers: data management, value circulation, ecological governance, and application scenarios. We dive into the current state of development and the main challenges and issues present in each layer. In this context, we find that AI technology will have great potential. We first briefly introduce the role that artificial intelligence technology may play in the development of Web 3.0. Then, we conduct an in-depth analysis of the current application status of artificial intelligence technology in the four layers of Web 3.0 and provide some insights into its potential future development directions.

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Cited By

Li CXu RPalanisamy BDuan LShen MLiu JWang W(2024)Blockchain Takeovers in Web 3.0: An Empirical Study on the TRON-Steem IncidentACM Transactions on the Web10.1145/3689431Online publication date: 21-Aug-2024
https://dl.acm.org/doi/10.1145/3689431
Wang ZWang PSun ZZhou XFu MLiu MWang XChen L(2024)FASDSA: A Flexible Adaptive and Secure Data Sharing ArchitectureACM Transactions on Autonomous and Adaptive Systems10.1145/3688003Online publication date: 13-Aug-2024
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Duan PGao HShen YGuo ZMa ZTian TZhang Y(2024)Secure collaborative EHR Sharing using multi-authority attribute-based proxy re-encryption in Web 3.0Computer Networks10.1016/j.comnet.2024.110851255(110851)Online publication date: Dec-2024
https://doi.org/10.1016/j.comnet.2024.110851
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Artificial Intelligence for Web 3.0: A Comprehensive Survey

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cover image ACM Computing Surveys

ACM Computing Surveys Volume 56, Issue 10

October 2024

954 pages

EISSN:1557-7341

DOI:10.1145/3613652

Editors:
David Atienza
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland
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Michela Milano
University of Bologna, Italy

Issue’s Table of Contents

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Publication History

Published: 14 May 2024

Online AM: 11 April 2024

Accepted: 31 March 2024

Revised: 28 January 2024

Received: 26 March 2023

Published in CSUR Volume 56, Issue 10

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National Key R&D Program of China
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Beijing Natural Science Foundation
National Research Foundation, Singapore
Infocomm Media Development Authority under its Future Communications Research & Development Programme
Defence Science Organisation (DSO) National Laboratories under the AI Singapore Programme
Singapore Ministry of Education (MOE) Tier 1

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Cited By

Li CXu RPalanisamy BDuan LShen MLiu JWang W(2024)Blockchain Takeovers in Web 3.0: An Empirical Study on the TRON-Steem IncidentACM Transactions on the Web10.1145/3689431Online publication date: 21-Aug-2024
https://dl.acm.org/doi/10.1145/3689431
Wang ZWang PSun ZZhou XFu MLiu MWang XChen L(2024)FASDSA: A Flexible Adaptive and Secure Data Sharing ArchitectureACM Transactions on Autonomous and Adaptive Systems10.1145/3688003Online publication date: 13-Aug-2024
https://dl.acm.org/doi/10.1145/3688003
Duan PGao HShen YGuo ZMa ZTian TZhang Y(2024)Secure collaborative EHR Sharing using multi-authority attribute-based proxy re-encryption in Web 3.0Computer Networks10.1016/j.comnet.2024.110851255(110851)Online publication date: Dec-2024
https://doi.org/10.1016/j.comnet.2024.110851
Shen MTang XWang WZhu LShen MTang XWang WZhu L(2024)Membership Privacy Protection for Federated Learning in Web 3.0Security and Privacy in Web 3.010.1007/978-981-97-5752-7_4(51-70)Online publication date: 10-Jul-2024
https://doi.org/10.1007/978-981-97-5752-7_4

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