K-Anonymity Privacy Protection Algorithm for Multi-Dimensional Data against Skewness and Similarity Attacks

K-Anonymity Privacy Protection Algorithm for Multi-Dimensional Data against Skewness and Similarity Attacks

Currently, a significant focus has been established on the privacy protection of multi-dimensional data publishing in various application scenarios, such as scientific research and policy-making. The K-anonymity mechanism based on clustering is the main method of shared-data desensitization, but it...

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Bibliographic Details
Main Authors: Bing Su, Jiaxuan Huang, Kelei Miao, Zhangquan Wang, Xudong Zhang, Yourong Chen
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
K-anonymity
multi-dimensional data
skewness attack
similarity attack
privacy protection
Online Access:https://www.mdpi.com/1424-8220/23/3/1554

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