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000931852 019__ $$a1152546615$$a1154461892
000931852 020__ $$a9789811536540$$q(electronic book)
000931852 020__ $$a9811536546$$q(electronic book)
000931852 020__ $$z9811536538
000931852 020__ $$z9789811536533
000931852 0247_ $$a10.1007/978-981-15-3
000931852 035__ $$aSP(OCoLC)on1153062197
000931852 035__ $$aSP(OCoLC)1153062197$$z(OCoLC)1152546615$$z(OCoLC)1154461892
000931852 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dLQU
000931852 049__ $$aISEA
000931852 050_4 $$aQA76.9.B45
000931852 08204 $$a005.7$$223
000931852 24500 $$aSecurity infrastructure technology for integrated utilization of big data :$$bapplied to the living safety and medical fields /$$cAtsuko Miyaji, Tomoaki Mimoto, editors.
000931852 260__ $$aSingapore :$$bSpringer,$$c2020.
000931852 300__ $$a1 online resource
000931852 336__ $$atext$$btxt$$2rdacontent
000931852 337__ $$acomputer$$bc$$2rdamedia
000931852 338__ $$aonline resource$$bcr$$2rdacarrier
000931852 5050_ $$aIntroduction -- Cryptography Core Technology -- Secure Primitive for big data utilization -- Secure Data Management Technology -- Living Safety Testbed Group -- Health Test Bed Group.
000931852 506__ $$aAccess limited to authorized users.
000931852 520__ $$aThis 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 dont 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 ou r project to avoid privacy violations.
000931852 650_0 $$aBig data$$xSecurity measures.
000931852 7001_ $$aMiyaji, Atsuko,$$cProfessor.
000931852 7001_ $$aMimoto, Tomoaki.
000931852 77608 $$iPrint version: $$z9811536538$$z9789811536533$$w(OCoLC)1138669346
000931852 852__ $$bebk
000931852 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-15-3654-0$$zOnline Access$$91397441.1
000931852 909CO $$ooai:library.usi.edu:931852$$pGLOBAL_SET
000931852 980__ $$aEBOOK
000931852 980__ $$aBIB
000931852 982__ $$aEbook
000931852 983__ $$aOnline
000931852 994__ $$a92$$bISE