Secure Primitive for Big Data Utilization
Akinori Kawachi, Atsuko Miyaji, Kazuhisa Nakasho, Yiying Qi, Yuuki Takano · 2020
Abstract 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.