A Survey of Blockchain, Artificial Intelligence, and Edge Computing for Web 3.0
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Abstract (arXiv)
Web 3.0, as the third generation of the World Wide Web, aims to solve contemporary problems of trust, centralization, and data ownership. Driven by the latest advances in cutting-edge technologies, Web 3.0 is moving towards a more open, decentralized, intelligent, and interconnected network. However, increasingly widespread data breaches have raised awareness of online privacy and security of personal data. Additionally, since Web 3.0 is a sophisticated and complex convergence, the technical details behind it are not as clear as the characteristics it presents. In this survey, we conduct an in-depth exploration of Web 3.0 from the perspectives of blockchain, artificial intelligence, and edge computing. Specifically, we begin with summarizing the evolution of the Internet and providing an overview of these three key technological factors. Afterward, we provide a thorough analysis of each technology separately, including its relevance to Web 3.0, key technology components, and practical applications. We also propose decentralized storage and computing solutions by exploring the integration of technologies. Finally, we highlight the key challenges alongside potential research directions. Through the combination and mutual complementation of multiple technologies, Web 3.0 is expected to return more control and ownership of data and digital assets back to users.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 56 of its 201 references that are in the map. First posted on arXiv 22 Nov 2023.
Builds on
56 of 201 references.
References · 56
- 2017Attention Is All You Needcited by 60,361
- 2023Is ChatGPT a General-Purpose Natural Language Processing Task Solver?cited by 488
- 2023A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPTcited by 224
- 2019Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensicscited by 164
- 2019Convergence of Edge Computing and Deep Learning: A Comprehensive Surveycited by 120
- 2017Natural Language Processing: State of The Art, Current Trends and Challengescited by 114
- 2023A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?cited by 84
- 2022Efficient Methods for Natural Language Processing: A Surveycited by 78
- 2019Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligencecited by 76
- 2014IPFS - Content Addressed, Versioned, P2P File Systemcited by 70
- 2013Deep AutoRegressive Networkscited by 61
- 2021Deep Reinforcement Learning in Computer Vision: A Comprehensive Surveycited by 43
38 more
- 2021Non-Fungible Token (NFT): Overview, Evaluation, Opportunities and Challengescited by 25
- 2020Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcitycited by 21
- 2023Enabling AI-Generated Content (AIGC) Services in Wireless Edge Networkscited by 21
- 2023Generative AI for Semantic Communication: Architecture, Challenges, and Outlookcited by 20
- 2023Blockchain-aided Secure Semantic Communication for AI-Generated Content in Metaversecited by 15
- 2020A Survey on Blockchain Interoperability: Past, Present, and Future Trendscited by 13
- 2022Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoincited by 13
- 2023A Unified Framework for Guiding Generative AI with Wireless Perception in Resource Constrained Mobile Edge Networkscited by 12
- 2017When Mobile Blockchain Meets Edge Computingcited by 11
- 2023Web 3.0: The Future of Internetcited by 11
- 2018FinBrain: When Finance Meets AI 2.0cited by 10
- 2023A Unified Framework for Integrating Semantic Communication and AI-Generated Content in Metaversecited by 10
- 2022A Survey on Evolutionary Computation for Computer Vision and Image Analysis: Past, Present, and Future Trendscited by 9
- 2023Joint Foundation Model Caching and Inference of Generative AI Services for Edge Intelligencecited by 9
- 2017Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approachcited by 8
- 2023Semantic Communications for Artificial Intelligence Generated Content (AIGC) Toward Effective Content Creationcited by 8
- 2023A Wireless AI-Generated Content (AIGC) Provisioning Framework Empowered by Semantic Communicationcited by 8
- 2022A Unified Blockchain-Semantic Framework for Wireless Edge Intelligence Enabled Web 3.0cited by 7
- 2023Blockchain-Empowered Lifecycle Management for AI-Generated Content (AIGC) Products in Edge Networkscited by 6
- 2022When Digital Economy Meets Web3.0: Applications and Challengescited by 5
- 2021CeFi vs. DeFi -- Comparing Centralized to Decentralized Financecited by 4
- 2022An Analysis of Energy Consumption and Carbon Footprints of Cryptocurrencies and Possible Solutionscited by 4
- 2022Web3 Challenges and Opportunities for the Marketcited by 4
- 2023Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Trafficcited by 4
- 2023Decentralized Finance (DeFi): A Surveycited by 4
- 2023Artificial Intelligence for Web 3.0: A Comprehensive Surveycited by 4
- 2018SBFT: a Scalable and Decentralized Trust Infrastructurecited by 3
- 2020Blockchain for Decentralization of Internet: Prospects, Trends, and Challengescited by 3
- 2022Edge Security: Challenges and Issuescited by 3
- 2022Exploring Web3 From the View of Blockchaincited by 3
- 2022A Blockchain-based Semantic Exchange Framework for Web 3.0 toward Participatory Economycited by 3
- 2020Blockchain Consensus Algorithms: A Surveycited by 2
- 2022Web3: A Decentralized Societal Infrastructure for Identity, Trust, Money, and Datacited by 2
- 2022Towards Web3 Applications: Easing the Access and Transitioncited by 2
- 2022Leveraging Architectural Approaches in Web3 Applications -- A DAO Perspective Focusedcited by 2
- 2023The current opportunities and challenges of Web 3.0cited by 2
- 2023A Comprehensive Study of Governance Issues in Decentralized Finance Applicationscited by 2
- 2022When Quantum Information Technologies Meet Blockchain in Web 3.0cited by 1
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