Zero-Knowledge Proof Intelligent Recommendation System to Protect Students’ Data Privacy in the Digital Age
Author:
Affiliation:
1. Zhengzhou Preschool Education College, Preschool Education Institute, Zhengzhou, China
Funder
study was supported by the Research and Practice Project of Higher Education Teaching Reform
Publisher
Informa UK Limited
Subject
Artificial Intelligence
Link
https://www.tandfonline.com/doi/pdf/10.1080/08839514.2023.2222495
Reference60 articles.
1. Matrix Factorization Techniques for Context-Aware Collaborative Filtering Recommender Systems: A Survey
2. Corona Virus (COVID-19) Pandemic and Work from Home: Challenges of Cybercrimes and Cybersecurity
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4. Security and Privacy Using One-Round Zero-Knowledge Proofs
5. The evolution of e-learning platforms from content to activity based learning: The case of Learn@WU
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1. Privacy-Preserving Process Mining: A Blockchain-Based Privacy-Aware Reversible Shared Image Approach;Applied Artificial Intelligence;2024-03-05
2. Zero-knowledge proofs in education: a pathway to disability inclusion and equitable learning opportunities;Smart Learning Environments;2024-02-06
3. PEEV: Parse Encrypt Execute Verify—A Verifiable FHE Framework;IEEE Access;2024
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