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...

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Bibliographic Details
Main Authors: Xiangwen Liu, Xia Feng, Yuquan Zhu
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/14/3/472