NAKAMURA, Yuichi

写真a

Affiliation

Affiliated organization, Global Education Center

Job title

Assistant Professor(without tenure)

Education 【 display / non-display

  • 2016.04
    -
    2019.03

    Keio University   Graduate School of Science and Technology   School of Science for Open and Environmental Systems  

  • 2014.04
    -
    2016.03

    Keio University   Graduate School of Science and Technology   School of Science for Open and Environmental Systems  

  • 2010.04
    -
    2014.03

    Keio University   Faculty of Science and Technology   Department of System Design Engineering  

Degree 【 display / non-display

  • 慶應義塾大学   博士(工学)

Research Experience 【 display / non-display

  • 2021.03
    -
    Now

    Secretariat of the Science Council of Japan   Senior Scientific Researcher

  • 2020.01
    -
    Now

    Tokyo Metropolitan Geriatric Medical Center   Healthy Aging Innovation Center   Researcher (Non-Full-time)

  • 2019.04
    -
    Now

    Waseda University   Global Education Center   Assistant Professor

  • 2016.04
    -
    2019.03

    Keio University   Information Technology Center   Research Associate

  • 2015.09
    -
    2015.12

    CEA Grenoble

Professional Memberships 【 display / non-display

  •  
     
     

    電子情報通信学会

  •  
     
     

    INFORMATION PROCESSING SOCIETY OF JAPAN

 

Research Areas 【 display / non-display

  • Web informatics and service informatics   データ公開基盤

  • Information network

  • Information security   データプライバシ

Research Interests 【 display / non-display

  • Anonymization

  • Preserving data privacy

  • Data publishing

Papers 【 display / non-display

  • Digital Watermarking for Anonymized Data with Low Information Loss

    Yuichi Nakamura, Hiroaki Nishi

    IEEE Access     1 - 1  2021  [Refereed]

    Authorship:Lead author, Corresponding author

    DOI

  • Hardware for Accelerating Anonymization Transparent to Network

    Soichiro Shohata, Yuichi Nakamura, Hiroaki Nishi

    Proceedings - 2018 6th International Symposium on Computing and Networking, CANDAR 2018     181 - 187  2018.12

     View Summary

    © 2018 IEEE. With the increase in the number of Internet of Things (IoT) devices, many applications using the data accumulated from IoT devices have been proposed. Consequently, privacy violation due to data disclosure is becoming a problem. Data anonymization is a technique for publishing data while preserving data privacy and is an effective method for solving the problem of privacy violation. There are several requirements for implementing anonymization systems suitable for IoT devices, where the amount of hardware and software resources, function extensibility, and processing throughput are limited. To satisfy these requirements, anonymization hardware for anonymizing data packets from IoT devices is proposed. The proposed hardware is allocated on the intermediate location of network and anonymizes the data packet stream from IoT devices transparently. The proposed anonymization process does not affect data communication or routing. This transparency allows an additional anonymization function to be installed on all types of IoT devices without modifying the devices. The proposed hardware allows IoT devices to anonymize the data packet stream. To reduce the latency and achieve transparent anonymization at a low cost, the proposed anonymization hardware was implemented using a field-programmable gate array. The throughput and latency of the testbed of the proposed hardware were 1,286 Mbps and 330 ns, respectively. The power consumption of the proposed hardware was lower than that for a software implementation.

    DOI

  • Self-organizing map using classification method for services in multilayer computing environments

    Tomomu Iwai, Yuta Ohno, Akira Niwa, Yuichi Nakamura, Keiya Sakai, Kanae Matsui, Hiroaki Nishi

    Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society     4193 - 4198  2018.12

     View Summary

    © 2018 IEEE. The increasing amount of data running in cloud-computing environments has started inflating networks. To solve the problems caused by network inflation (e.g., latency and privacy), new types of computing environments with multiple layers have been proposed. However, service placement inside these multilayer computing environments has not been proposed. Nodes inside multilayer computing environments have different preferences, and the services deployed also have restrictions on deployment. Therefore, services must be placed carefully inside the computing environment. To place these services, we introduce a service classification method according to their properties and restrictions. However, when accommodating dynamic placement, rapid classification is needed to avoid serious damage caused by restriction changes. Therefore, we propose a classifying method using k-Nearest Neighbor Classification (k-NN). In addition, to accelerate the process, we use a dimension reduction method called Self-Organizing Maps (SOM) to preprocess the data. The proposed classification method is expected to be used as the primary step in service placement. The method will supply service placers with the identification of which layer services should be deployed.

    DOI

  • A privacy-preserving sharing method of electricity usage using self-organizing map

    Yuichi Nakamura, Keiya Harada, Hiroaki Nishi

      4 ( 1 ) 24 - 29  2018.03  [Refereed]

    Authorship:Lead author, Corresponding author

     View Summary

    Smart meters for measuring electricity usage are expected in electricity usage management. Although the relevant power supplier stores the measured data, the data are worth sharing among power suppliers because the entire data of a city will be required to control the regional grid stability or demand–supply balance. Even though many techniques and methods of privacy-preserving data mining have been studied to share data while preserving data privacy, a study on sharing electricity usage data is still lacking. In this paper, we propose a sharing method of electricity usage while preserving data privacy using a self-organizing map.

    DOI

  • Self-Organizing Map Using Classification Method for Services in Multilayer Computing Environments

    Tomomu Iwai, Yuta Ohno, Akira Niwa, Yuichi Nakamura, Keiya Sakai, Kanae Matsui, Hiroaki Nishi

    IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY     4193 - 4198  2018

     View Summary

    The increasing amount of data running in cloud-computing environments has started inflating networks. To solve the problems caused by network inflation (e.g., latency and privacy), new types of computing environments with multiple layers have been proposed. However, service placement inside these multilayer computing environments has not been proposed. Nodes inside multilayer computing environments have different preferences, and the services deployed also have restrictions on deployment. Therefore, services must be placed carefully inside the computing environment. To place these services, we introduce a service classification method according to their properties and restrictions. However, when accommodating dynamic placement, rapid classification is needed to avoid serious damage caused by restriction changes. Therefore, we propose a classifying method using k-Nearest Neighbor Classification (k-NN). In addition, to accelerate the process, we use a dimension reduction method called Self-Organizing Maps (SOM) to preprocess the data. The proposed classification method is expected to be used as the primary step in service placement. The method will supply service placers with the identification of which layer services should be deployed.

display all >>

Books and Other Publications 【 display / non-display

  • Urban Systems Design (Book Chapter)

    Hiroaki Nishi, Yuichi Nakamura( Part: Joint author, Chapter 10 - IoT-based monitoring for smart community)

    Elsevier  2020.02 ISBN: 9780128160558

    DOI

Misc 【 display / non-display

  • Anonymization Infrastructure for Privacy Preserving Data Publishing

    NAKAMURA Yuichi, OKADA Kengo, YAMAGUCHI Fumito, NISHI Hiroaki

    IEICE technical report. Computer systems   114 ( 155 ) 119 - 124  2014.07

     View Summary

    Nowadays, various institutions manage large amounts of data such as customer information and medical records. These data include sensitive personal information, for instance may include personal taste and location record, and these are value for advanced services such as estimation of a route of infection and market research. Although demands of publishing the data are increasing, the data may include personally identifiable information. In this paper, we propose an anonymization infrastructure with privacy protection. Moreover, we propose a protocol and data format for the infrastructure. In order to evaluate our proposed infrastructure, data of medical records were used, and then the result showed the infrastructure was able to process a large amount of data that we required.

    CiNii

Industrial Property Rights 【 display / non-display

  • Anonymization System, Issuance Device, and Program

    US10,303,897

    NISHI HIROAKI, OKADA KENGO, NAKAMURA YUICHI

    Patent

  • 匿名化システム、発行装置及びプログラム

    特許6264656

    西宏章, 岡田健吾, 中村優一

    Patent

Other 【 display / non-display

  • 技術標準化貢献

     View Summary

    ITU-T デリバラブルへの論文の被引用

    Technical Reports on "Anonymization infrastructure and open data in smart sustainable cities"
    ITU-T Working Group 2 Focus Group Smart Sustainable Cities

    https://www.itu.int/en/ITU-T/focusgroups/ssc/Documents/website/web-fg-ssc-0234-r9-technical_report_anonymization_infrastructure_open_data_in_ssc.docx

Awards 【 display / non-display

  • WASEDA e-Teaching Good Practice Award

    2021.03   Center for Higher Education Studies, Waseda University  

    Winner: Yuichi NAKAMURA

  • 第33回電気通信普及財団賞(テレコムシステム技術学生賞)

    2018.03   The Telecommunications Advancement Foundation   Novel Method to Watermark Anonymized Data for Data Publishing

    Winner: Yuichi NAKAMURA

  • Best Author Award

    2016.11   IEEE SmartGridComm, Workshop on Smart City Infrastructure and Applications (WSCIA’16)   Self-Organizing Map Using Classification Method for Services in Multilayer Computing Environments

    Winner: Yuichi NAKAMURA

Presentations 【 display / non-display

  • PWSCUP2020 Contest : AMIC ("Anonymity against Membership Inference" Contest)

    Computer Security Symposium 2020 

    Presentation date: 2020.10

    Event date:
    2020.10
     
     
  • PWS Cup 2019: Location Data Anonymization Competition

    Yuichi NAKAMURA

    Computer Security Symposium 2019 

    Presentation date: 2019.10

  • Data utilization and privacy preserving

    Yuichi NAKAMURA  [Invited]

    Special lecture in Meiji University 

    Presentation date: 2019.06

  • 匿名化データのための電子透かしとそのBlind検出手法の提案

    大野雄太, 中村優一, 西宏章

    電子情報通信学会 ディペンダブルコンピューティング研究会 (DC) 

    Presentation date: 2017.03

  • 二次利用のためのデータ属性を考慮した匿名化加工手法の提案と検討

    中村優一, 細江貴博, 西宏章

    電子情報通信学会 コンピュータシステム研究会 (CPSY) 

    Presentation date: 2016.12

display all >>

Specific Research 【 display / non-display

  • プライバシに配慮したデータ公開・共有によるデータ利活用のための技術に関する研究

    2020  

     View Summary

    本研究助成を受け、プライバシに配慮したデータ公開・共有によるデータ利活用のための技術を検討した。データ共有に関わる役割は、生成・保管しているデータを提供する「データ提供者」、提供されたデータを利活用する「データ利用者」、そして提供者と利用者の間のデータ授受を仲介する「データ仲介者」の3つに大別できる。2020年度は主にデータ仲介者に注目し、個人に関するデータの集まりに対して、誰の情報が含まれているか分からないようにデータを匿名化する技術について研究を進め、最終的に、研究会論文1本として報告した。またプライバシに配慮の必要なデータの安全な研究利用を促進するための研究も進めており、2021年度以降も引き続き本課題に取り組む予定である。

  • データ利活用のためのデータ共有に適用可能なプライバシ保護技術の検討

    2019  

     View Summary

    本研究助成を受け、データ利活用のためのデータ共有に適用可能なプライバシ保護技術を検討した。データ共有に関わる役割は、生成・保管しているデータを提供する「データ提供者」、提供されたデータを利活用する「データ利用者」、そして提供者と利用者の間のデータ授受を仲介する「データ仲介者」の3つに大別できる。本研究ではデータ共有の中心であるデータ仲介者の役割としてストレージサーバを構築しながら研究を進め、最終的に、研究会論文1本および書籍1章として報告した。2019年度の結果を踏まえ、2020年度以降はまた異なる視点でデータ共有を捉えつつ研究をさらに進め、安心・安全なデータ利活用へさらに貢献したい。

 

Syllabus 【 display / non-display

display all >>

Teaching Experience 【 display / non-display

  • Introduction to Programming

    Waseda University  

    2020.04
    -
    Now
     

  • Server Management beta

    Waseda University  

    2019.04
    -
    Now
     

  • Server Management alpha

    Waseda University  

    2019.04
    -
    Now
     

  • Information security technology

    Waseda University  

    2019.04
    -
    Now
     

  • Database(Introduction to SQL)

    Waseda University  

    2019.04
    -
    Now
     

display all >>

 

Committee Memberships 【 display / non-display

  • 2020.04
    -
    Now

    IEEE Standards Association  IEEE P21451-1-6 Standards Committee Working Group Member

  • 2019.07
    -
    Now

    情報処理学会 コンピュータセキュリティ研究会 プライバシーワークショップ(PWS)  実行委員

  • 2019.06
    -
    Now

    電子情報通信学会 コンピュータシステム研究会  専門委員