Toward Privacy Preservation Using Clustering Based Anonymization: Recent Advances and Future Research Outlook
Author:
Affiliation:
1. Department of Computer Engineering, Gachon University, Seongnam-si, Republic of Korea
2. Department of IT Convergence Engineering, Gachon University, Seongnam-si, Republic of Korea
Funder
National Research Foundation of Korea NRF
Institute of Information and Communications Technology Planning and Evaluation IITP
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09775092.pdf?arnumber=9775092
Reference341 articles.
1. A Survey on Security and Privacy Issues in Edge-Computing-Assisted Internet of Things
2. Computing Paradigms in Emerging Vehicular Environments: A Review
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4. Privacy-preserving collaborative machine learning in biomedical applications
5. Personalized Federated Learning With Differential Privacy
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