LEADER 04317nam 22006135 450 001 9910404249603321 005 20230125190136.0 010 $a981-15-3654-6 024 7 $a10.1007/978-981-15-3654-0 035 $a(CKB)4100000011223338 035 $a(MiAaPQ)EBC6191379 035 $a(DE-He213)978-981-15-3654-0 035 $a(Au-PeEL)EBL6191379 035 $a(OCoLC)1153062197 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/33048 035 $a(PPN)243760051 035 $a(EXLCZ)994100000011223338 100 $a20200423d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSecurity Infrastructure Technology for Integrated Utilization of Big Data $eApplied to the Living Safety and Medical Fields /$fedited by Atsuko Miyaji, Tomoaki Mimoto 205 $a1st ed. 2020. 210 $aSingapore$cSpringer Nature$d2020 210 1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020. 215 $a1 online resource (IX, 166 p. 61 illus., 55 illus. in color.) 311 $a981-15-3653-8 327 $aIntroduction -- Cryptography Core Technology -- Secure Primitive for big data utilization -- Secure Data Management Technology -- Living Safety Testbed Group -- Health Test Bed Group. 330 $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 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. 606 $aData protection 606 $aSecurity$3https://scigraph.springernature.com/ontologies/product-market-codes/I28000 610 $aSecurity 610 $aSecure Date Management 610 $aPrivacy Protection 610 $aBig Data Security 610 $aInformation Security 610 $aCyber Security 610 $aOpen Access 610 $aComputer security 615 0$aData protection. 615 14$aSecurity. 676 $a005.8 700 $aMiyaji$b Atsuko$4edt$01354841 702 $aMiyaji$b Atsuko$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMimoto$b Tomoaki$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910404249603321 996 $aSecurity Infrastructure Technology for Integrated Utilization of Big Data$93358436 997 $aUNINA