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Security infrastructure technology f...

Miyaji, Atsuko.

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Security infrastructure technology for integrated utilization of big data = applied to the living safety and medical fields /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Security infrastructure technology for integrated utilization of big data/ edited by Atsuko Miyaji, Tomoaki Mimoto.
Reminder of title:	applied to the living safety and medical fields /
other author:	Miyaji, Atsuko.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	ix, 166 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Cryptography Core Technology -- Secure Primitive for big data utilization -- Secure Data Management Technology -- Living Safety Testbed Group -- Health Test Bed Group.
Contained By:	Springer eBooks
Subject:	Big data - Security measures. -
Online resource:	https://doi.org/10.1007/978-981-15-3654-0
ISBN:	9789811536540

Security infrastructure technology for integrated utilization of big data = applied to the living safety and medical fields /
Security infrastructure technology for integrated utilization of big dataapplied to the living safety and medical fields /[electronic resource] :edited by Atsuko Miyaji, Tomoaki Mimoto. - Singapore :Springer Singapore :2020. - ix, 166 p. :ill., digital ;24 cm.

Introduction -- Cryptography Core Technology -- Secure Primitive for big data utilization -- Secure Data Management Technology -- Living Safety Testbed Group -- Health Test Bed Group.

Open access.

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.

ISBN: 9789811536540

Standard No.: 10.1007/978-981-15-3654-0doiSubjects--Topical Terms:

3310623
Big data
--Security measures.

LC Class. No.: QA76.9.B45 / S43 2020

Dewey Class. No.: 005.7

Security infrastructure technology for integrated utilization of big data = applied to the living safety and medical fields /
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505 0 $a Introduction -- Cryptography Core Technology -- Secure Primitive for big data utilization -- Secure Data Management Technology -- Living Safety Testbed Group -- Health Test Bed Group.
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520 $a 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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