Secure Primitive for Big Data Utilization

Autor:	Akinori Kawachi, Yuuki Takano, Atsuko Miyaji, Yiying Qi, Kazuhisa Nakasho
Rok vydání:	2020
Předmět:	Database business.industry Computer science Classification rule Big data computer.software_genre business computer Data integration
Zdroj:	Security Infrastructure Technology for Integrated Utilization of Big Data ISBN: 9789811536533 Security Infrastructure Technology for Integrated Utilization of Big Data
DOI:	10.1007/978-981-15-3654-0_3
Popis:	In this chapter, we describe two security primitives for big data utilization. One is a privacy-preserving data integration among databases distributed in different organizations. This primitive integrates the same data among databases kept in different organizations while keeping any different data in an organization secret to other organizations. Another is a privacy-preserving classification. This primitive executes a procedure for server’s classification rule to client’s input database and outputs only the result to the client while keeping the client’s input database secret to the server and server’s classification rule to the client. These primitives can be executed not only independently but also jointly. That is, after we integrate databases from distributed organization by executing the privacy-preserving data integration, we can execute a privacy-preserving classification.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::17fc71a5734c57a9ab07d972ecad49cc https://doi.org/10.1007/978-981-15-3654-0_3 Zobrazit plný text záznamu