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Introduction to Privacy-Preserving Data Publishing

publication of useful information while protecting data privacy. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques presents;

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Introduction to Privacy-Preserving Data Publishing

publication of useful information while protecting data privacy. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques presents;

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Privacy-Preserving Data Publishing

Privacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data;

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Privacy-Preserving Data Publishing

Privacy preservation has become a major issue in many data analysis applications. When a data set is released to other parties for data;

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Privacy in Social Networks

to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally;

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Privacy-Preserving in Edge Computing

solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location;

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Privacy

In this book, the authors present current research in the study of the management, legal issues and security aspects relating to privacy;

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Data Privacy

protection procedures for respondent, holder and user privacy. It also discusses specific data privacy problems and solutions for readers who need to;

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Algorithms for Data and Computation Privacy

clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy;

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Algorithms for Data and Computation Privacy

clouds. In this computing paradigm, one often has to store privacy sensitive data at parties, that cannot fully trust and perform privacy;

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Federated Learning

collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection;

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Medical Data Privacy Handbook

results to doctors' comments. The reuse of EMR data can greatly benefit medical science and practice, but must be performed in a privacy;

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Secure and Privacy-Preserving Data Communication in Internet of Things

topics: data aggregation, privacy protection, and key agreement and management. Secondly, various cryptographic schemes/protocols used to protect;

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Security and Privacy in Mobile Social Networks

, privacy-preserving cooperative data forwarding (PDF) protocols, and trustworthy service evaluation (TSE) systems. The PPM helps two users compare;

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Security and Privacy for Big Data, Cloud Computing and Applications

data becomes more critical with emerging security and privacy threats and challenges. This book presents a comprehensive view on how to advance;

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Security and Privacy in Social Networks and Big Data

selected from a total of 111 submissions. The papers are organized according to the topical sections on big data security; social networks; privacy;

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Privacy-Aware Knowledge Discovery

recommender systems. The final part on social networks analyzes privacy issues related to the management of social network data under different;

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Privacy-Aware Knowledge Discovery

recommender systems. The final part on social networks analyzes privacy issues related to the management of social network data under different;

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Data and Applications Security and Privacy XXV

lectures were carefully reviewed and selected from 37 submissions. The topics of these papers include access control, privacy-preserving data;

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Privacy in Statistical Databases

, Spain in September 2014 under the sponsorship of the UNESCO chair in Data Privacy. The 27 revised full papers presented were carefully reviewed;

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Responsible Genomic Data Sharing

, industry and academia. Addresses privacy preserving technologies and how they can be applied to enable responsible genomic data;

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Spatial Data Management

, privacy-preserving data publishing, and spatial keyword search. Table of Contents: Introduction / Spatial Data / Indexing / Spatial Query;

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When Compressive Sensing Meets Mobile Crowdsensing

This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile;

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When Compressive Sensing Meets Mobile Crowdsensing

This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile;

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Data Protection and Privacy in Healthcare

from disease centered to patient centered. While on one side the analysis of healthcare data plays an important role in healthcare management;

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Association Rule Hiding for Data Mining

Privacy and security risks arising from the application of different data mining techniques to large institutional data repositories have;

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Privacy in Social Networks

to infer potentially sensitive information. Next, we describe some privacy definitions and privacy mechanisms for data publishing. Finally;

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