Enhancing Privacy in Lightweight Data Encoding for Sensitive Applications
Record linkage aims to identify records referring to the same individual across different datasets, but often involves sensitive personal identifiers. Privacy-Preserving Record Linkage (PPRL) techniques, particularly those based on Bloom filter encoding, enable secure linkage while protecting privac...
Saved in:
Main Authors: | Yan Wang, Min Xu, Sheng Zhong |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11039762/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
BloomDT - An improved privacy-preserving decision tree inference scheme
by: Sean Lalla, et al.
Published: (2024-03-01) -
Survey on incentive-driven federated learning: privacy and security
by: CHI Huanhuan, et al.
Published: (2025-06-01) -
Privacy-preserving record linkage by a federated trusted third party (fTTP) – unlocking medical research potential in Germany
by: Hampf, Christopher, et al.
Published: (2025-06-01) -
FDAE: Lightweight Privacy Protection Based on Face Detection and Image Encryption
by: Li You, et al.
Published: (2025-01-01) -
Federated Learning for Privacy-Preserving Employee Performance Analytics
by: Jay Barach
Published: (2025-01-01)