Electronic Resource

Security Infrastructure Technology for Integrated Utilization of Big Data = Applied to the Living Safety and Medical Fields

This open access book describes the technologies needed to construct a secure big data infrastructure that connects data owners, analytical institutions, and user institutions in a circle of trust. It begins by discussing the most relevant technical issues involved in creating safe and privacy-preserving big data distribution platforms, and especially focuses on cryptographic primitives and privacy-preserving techniques, which are essential prerequisites. The book also covers elliptic curve cryptosystems, which offer compact public key cryptosystems; and LWE-based cryptosystems, which are a type of post-quantum cryptosystem. Since big data distribution platforms require appropriate data handling, the book also describes a privacy-preserving data integration protocol and privacy-preserving classification protocol for secure computation. Furthermore, it introduces an anonymization technique and privacy risk evaluation technique.
This book also describes the latest related findings in both the living safety and medical fields. In the living safety field, to prevent injuries occurring in everyday life, it is necessary to analyze injury data, find problems, and implement suitable measures. But most cases don’t include enough information for injury prevention because the necessary data is spread across multiple organizations, and data integration is difficult from a security standpoint. This book introduces a system for solving this problem by applying a method for integrating distributed data securely and introduces applications concerning childhood injury at home and school injury. In the medical field, privacy protection and patient consent management are crucial for all research. The book describes a medical test bed for the secure collection and analysis of electronic medical records distributed among various medical institutions. The system promotes big-data analysis of medical data with a cloud infrastructure and includes various security measures developed in our project to avoid privacy violations.

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Detail Information

Series Title

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Call Number

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Publisher

: Springer Singapore., 2020

Collation

IX, 166 hlm; ill., lamp.,

Language

English

ISBN/ISSN

9789811536540

Classification

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Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1

Subject(s)

Specific Detail Info

Describes the technologies needed to build a secure big data infrastructure that connects data owners, analytical institutions, and user institutions in a circle of trust Presents a safe and privacy-preserving big data distribution platform for the secure and fair collection, analysis and utilization of big data Demonstrate how the platform can be used in the medical and living safety fields

Statement of Responsibility

Atsuko Miyaji, Tomoaki Mimoto

Other Information

Cataloger

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Source

https://link.springer.com/book/10.1007/978-981-15-3654-0

Validator

ida

Digital Object Identifier (DOI)

https://doi.org/10.1007/978-981-15-3654-0

Journal Volume

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Journal Issue

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Subtitle

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Parallel Title

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