mlsanityData to 14 Oct 2026

An Overview of AI and Blockchain Integration for Privacy-Preserving

arXiv 2305.03928 ↗First posted 6 May 2023cs.CR cs.AIcited by 3

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Abstract (arXiv)

With the widespread attention and application of artificial intelligence (AI) and blockchain technologies, privacy protection techniques arising from their integration are of notable significance. In addition to protecting privacy of individuals, these techniques also guarantee security and dependability of data. This paper initially presents an overview of AI and blockchain, summarizing their combination along with derived privacy protection technologies. It then explores specific application scenarios in data encryption, de-identification, multi-tier distributed ledgers, and k-anonymity methods. Moreover, the paper evaluates five critical aspects of AI-blockchain-integration privacy protection systems, including authorization management, access control, data protection, network security, and scalability. Furthermore, it analyzes the deficiencies and their actual cause, offering corresponding suggestions. This research also classifies and summarizes privacy protection techniques based on AI-blockchain application scenarios and technical schemes. In conclusion, this paper outlines the future directions of privacy protection technologies emerging from AI and blockchain integration, including enhancing efficiency and security to achieve a more comprehensive privacy protection of privacy.

Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). Builds on 10 of its 61 references that are in the map. First posted on arXiv 6 May 2023.

Builds on

10 of 61 references.

References · 10

  1. 2022Constitutional AI: Harmlessness from AI Feedbackcited by 3,050
  2. 2019Federated Learning: Challenges, Methods, and Future Directionscited by 1,538
  3. 2014IPFS - Content Addressed, Versioned, P2P File Systemcited by 70
  4. 2022AuthROS: Secure Data Sharing Among Robot Operating Systems Based on Ethereumcited by 6
  5. 2020Characterizing Erasable Accounts in Ethereumcited by 5
  6. 2020CLUE: Towards Discovering Locked Cryptocurrencies in Ethereumcited by 5
  7. 2019A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchaincited by 3
  8. 2020STAN: Towards Describing Bytecodes of Smart Contractcited by 3
  9. 2022Security Analysis of DeFi: Vulnerabilities, Attacks and Advancescited by 2
  10. 2022A Survey of DeFi Security: Challenges and Opportunitiescited by 2

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Cited by year

Citing papers per year: 2024: 1; 2025: 2.

3 papers.