Personalized Privacy Protection in Big Data /

Personalized Privacy Protection in Big Data /

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This book presents the data privacy protection which has been extensively applied in our current era of big data. However, research into big data privacy is still in its infancy. Given the fact that existing protection methods can result in low data utility and unbalanced trade-offs, personalized pr...

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Bibliographic Details
Main Authors: Qu, Youyang (Author, http://id.loc.gov/vocabulary/relators/aut), Cui, Lei (http://id.loc.gov/vocabulary/relators/aut), Nosouhi, Mohammad Reza (http://id.loc.gov/vocabulary/relators/aut), Nosouhi, Mohammad Reza (Author), Yu, Shui (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Format: Book
Language:English
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2021
Edition:1st ed. 2021
Series:Computer Science (SpringerNature-11645)
Data Analytics,
Data analytics
Subjects:
Artificial intelligence-Data processing
Coding theory
Computer security
Data mining
Data protection-Law and legislation
Information theory
Quantitative research
Privacy
Coding and Information Theory
Data Analysis and Big Data
Data Mining and Knowledge Discovery
Data Science
Principles and Models of Security

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Duke University

Holdings details from Duke University
Call Number: ISIL:US-NCD

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