Transactional Data Anonymization for Privacy and Information Preservation via Disassociation and Local Suppression
Ubiquitous devices in IoT-based environments create a large amount of transactional data on daily personal behaviors. Releasing these data across various platforms and applications for data mining can create tremendous opportunities for knowledge-based decision making. However, solid guarantees on t...
Main Authors: | Xiangwen Liu, Xia Feng, Yuquan Zhu |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/14/3/472 |
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