<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">$\tau $ </tex-math...

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Principais autores:	Hui Zhu, Hong-Bin Liang, Lian Zhao, Dai-Yuan Peng, Ling Xiong
格式:	Artigo
语言:	Inglês
出版:	IEEE 2019-01-01
丛编:	IEEE Access
主题:	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
在线阅读:	https://ieeexplore.ieee.org/document/8571228/
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