Delight @ Keio SFC-RG

Keio University Nakamura Joint Lab. Delight Group

Delight group is a research group of the Nakamura Joint Research Group at SFC, Keio University, focusing on decentralized and distributed systems. With the spread of the Internet, issues arising from the reliability of information circulating in cyberspace are becoming apparent rapidly. In collaboration with the Data Architecture Lab at Keio Research Institute at SFC, we are working on solving issues of decentralized and distributed systems and on research activities in various application fields.

We are always welcome to new members.
If you are interested in our research, please check the following page.

Research Topics:

Decentralized and Distributed Systems

Digital Identity

Verifiable Data Architecture

Network Architecture

Digital Identity

Digital identity is a set of information in cyberspace that is associated with entities in the real world. Technologies related to digital identity play a significant role as a bridge between cyberspace and physical space. We are discussing and researching the architecture of digital identity infrastructure and the feasibility of self-sovereign identity from the viewpoint of "trust."

Verifiable Data Architecture

To developing digital civilization, It is essential to ensure the reliability of the information we communicate over the Internet. In particular, it is important to verify the authenticity of data that describes certain information and to efficiently process the described information (machine readability). We are researching system architectures that apply data models based on Verifiable Credentials and Decentralized Identifiers, which W3C is standardizing.

Network Architecture

Knowledge of computers and networks is essential when discussing digital identities and verifiable data architectures, including distributed systems, network security, and communication protocols. At Delight, we build our network systems from physical machines for research purposes, and they also build and operate virtual machines in the network to test and experiment with software they have created. Students can acquire knowledge of both hardware and software.

News

Delight will exhibit at SFC Open Research Forum 2023

Nov 24, 2023

Nakamura Joint Laboratory Delight Group will exhibit at SFC Open Research Forum 2023.

Announcement of reforming a new group "Delight": Kumo and Bcali are now togther.

Sep 27, 2023

We are pleased to announce that Kumo and Bcali, which are parts of SFC-RG groups, have been merged into a new group, "Delight", following the developmental dissolution of both of them. The new group "Delight" will continue the activities of Kumo and Bcali, especially focus on research and development related to "distributed systems" and "decentralized systems".

Publications

A new scheme combining zk Rollup on top of Optimistic Rollup to make transactions cheaper without compromising security

Transaction processing capacity limits the utility of Ethereum, one of the most well-known blockchain mainly used as a decentralized application. To enable more diverse applications, it is required to...

Ko Kikuchi

卒業論文

Mar 2023

A System for Selective Disclosure of Information about a Patient with Intractable Disease

To receive effective treatment during emergency response due to seizures or unforeseen accidents, a patient with intractable diseases must disclose information about their disease to an emergency phys...

Erika Sugita，Ryosuke Abe，Shigeya Suzuki，Keisuke Uehara，Osamu Nakamura

2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC)

Jul 2023

Fabchain: Managing Audit-able 3D Print Job over Blockchain

Improvements in fabrication devices such as 3D printers are becoming possible for personal fabrication to freely fabricate any products. To clarify who is liable for the product, the fabricator should...

Ryosuke Abe，Shigeya Suzuki，Kenji Saito，Hiroya Tanaka，Osamu Nakamura，Jun Murai

2022 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)

May 2022

検証可能な研究実績のデータモデル

本研究では、出版社と研究者と審査機関の間における実績の情報のやりとりに関する問題を解決するために、実績の情報を検証可能にするデータモデルを提案する。研究者は、論文の発表などの研究実績を蓄積し、研究機関は採用活動などにおける審査のために、研究実績の提示を求めることがある。提案したデータモデルを用いることで、研究実績を検証し関係者間の実績の情報のやりとりにおける問題を解決できることを示す。審査機関は研...

菅井豪留

修士論文

Mar 2022

* Includes papers published in former groups, Kumo and Bcali.