Security Infrastructure Technology for Integrated Utilization of Big Data : Applied to the Living Safety and Medical Fields

Autor: Atsuko Miyaji, Tomoaki Mimoto

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

Privacy-Preserving Data Analysis without Trusted Third Party

Autor: Atsuko Miyaji, Tomoka Takahashi, Ping-Lun Wang, Tatsuhiro Yamatsuki, Tomoaki Mimoto

Publikováno v: 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::26ee720a3d9666e28b37531b331ff894
https://doi.org/10.1109/trustcom56396.2022.00101

Anonymization Technique based on SGD Matrix Factrization

Autor: Tomoaki Mimoto, Shinsaku Kiyomoto, Atsuko Miyaji, Seira Hidano

Publikováno v: IEICE Transactions on Information and Systems. (2):299-308

Time-sequence data is high dimensional and contains a lot of information, which can be utilized in various fields, such as insurance, finance, and advertising. Personal data including time-sequence data is converted to anonymized datasets, which need

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::42432bf2860575837595e8e544fc70f3
http://hdl.handle.net/10119/16235

A Taxonomy of Secure Two-Party Comparison Protocols and Efficient Constructions

Autor: Jacob C. N. Schuldt, Goichiro Hanaoka, Shinsaku Kiyomoto, Nuttapong Attrapadung, Tomoaki Mimoto

Publikováno v: PST

Secure two-party comparison plays a crucial role in many privacy-preserving applications, such as privacy-preserving data mining and machine learning. In particular, the available comparison protocols with the appropriate input/output configuration h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63228d4fb21aa77c2d95758cb02e00db
https://doi.org/10.1587/transfun.e102.a.1048

Secure Data Management Technology

Autor: Atsuko Miyaji, Tomoaki Mimoto, Shinsaku Kiyomoto

Publikováno v: Security Infrastructure Technology for Integrated Utilization of Big Data ISBN: 9789811536533
Security Infrastructure Technology for Integrated Utilization of Big Data

In this chapter, we introduce data anonymization techniques for several types of datasets. Data anonymity of anonymized datasets is an index for estimating the (maximum) reidentification risk from anonymized datasets and is generally defined as a qua

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::91240cd8713f0efe1de45b2eb6536809
https://doi.org/10.1007/978-981-15-3654-0_4