<inline-formula> <tex-math notation="LaTeX">$\tau$ </tex-math></inline-formula>-Safe (<inline-formula> <tex-math notation="LaTeX">$l,k$ </tex-math></inline-formula>)-Diversity Privacy Model for Sequential Publication With High Utility

<inline-formula> <tex-math notation="LaTeX">$\tau$ </tex-math></inline-formula>-Safe (<inline-formula> <tex-math notation="LaTeX">$l,k$ </tex-math></inline-formula>)-Diversity Privacy Model for Sequential Publication With High Utility

Preserving privacy while maintaining high utility during sequential publication for data providers and data users in mathematical statistics, scientific researching, and organizations making decisions play an important role recently. The <inline-formula> <tex-math notation="LaTeX"...

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Bibliographic Details
Main Authors: Hui Zhu, Hong-Bin Liang, Lian Zhao, Dai-Yuan Peng, Ling Xiong
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Sequential publication
privacy
anonymization
bucketization
(<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">l</italic>, <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k</italic>)-diversity
Online Access:https://ieeexplore.ieee.org/document/8571228/

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https://ieeexplore.ieee.org/document/8571228/

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