豊橋技術科学大学

Search

Search

Nakamura, Junya

Affiliation Information and Media Center
Title Associate Professor
Fields of Research Distributed Algorithms, Distributed Systems, Fault-Tolerance
Degree Ph.D in Information Science and Technology (Osaka University)
Academic Societies IEICE, IPSJ, IEEE, IEEE Computer Society
E-mail junya@imc
Please append ".tut.ac.jp" to the end of the address above.
Laboratory website URL https://dsl.cs.tut.ac.jp
Researcher information URL(researchmap) Researcher information

Research

分散システムにおける耐故障技術に興味があります。特に、Byzantine Fault Toleranceという高度な故障耐性を実現するために用いられる分散合意アルゴリズムや、仮想化技術の活用による弾力的で効率的なレプリケーションの実現について、研究を進めています。

Theme1:Byzantine Fault-Tolerance

Overview

A failed node in a distributed system may behave unexpectedly. Also, if a malicious attacker takes over a node, it may interfere with the processing of other nodes. Such kinds of behavior are modeled as a Byzantine failure. Byzantine Fault Tolerance is known as a replication technology that allows the entire distributed system to continue providing a service even if some nodes are Byzantine. This technology is widely used as a core technology for blockchain (distributed ledger) and distributed databases. In this laboratory, we are conducting research on various technologies to realize more effective Byzantine Fault Tolerance, especially for geo-wide replication utilizing public cloud services.

Selected publications and works

T. Chiba, R. Ohmura and J. Nakamura: “A State Transfer Method That Adapts to Network Bandwidth Variations in Geographic State Machine Replication”, Proceedings of the 9th International Symposium on Computing and Networking (CANDAR), pp. 88–94 (2021).
S. Numakura, J. Nakamura and R. Ohmura: “Evaluation and Ranking of Replica Deployments in Geographic State Machine Replication”, Proceedings of the 38th International Symposium on Reliable Distributed Systems Workshops (SRDSW), pp. 37–42 (2019).
J. Nakamura, T. Araragi, S. Masuyama and T. Masuzawa: “Efficient Randomized Byzantine Fault-Tolerant Replication based on Special Valued Coin Tossing”, IEICE Transactions on Information and Systems, E97-D, 2, pp. 231–244 (2014).

Keywords

Byzantine faults, replication, cloud, consensus, blockchain

Theme2:Machine Learning-based Network Intrusion Detection System

Overview

Intrusion attacks on servers over the network are increasing every year. Network intrusion detection systems are widely used to detect and block such attacks. However, many systems use pattern files to detect attacks and cannot handle new types of attacks. To solve this problem, research on intrusion detection systems using machine learning is advancing. In this laboratory, we proposed a distributed processing framework called MLNIDS to realize an intrusion detection system using machine learning. We will verify and improve the practicality of this framework from various viewpoints such as detection rate, processing performance, and stability of long-term operation.

Selected publications and works

多田, 中村, 大村, 小林:“機械学習ベースNIDS構築のための分散処理フレームワーク”, 情報処理学会論 文誌, 60, 9, pp. 1448–1465 (2019).

Keywords

IDS/IPS, security, network, distributed processing, machine learning

Theme3:Theoretical Analysis of Cooperative Behavior by Autonomous Mobile Robots

Overview

Autonomous mobile robot attracts much attention as a new distributed system implementation. A mobile robot moves autonomously in an environment and collects information. Although each autonomous mobile robot has limited functions, multiple robots can exchange information collected individually and perform advanced tasks cooperatively. From the viewpoint of theoretical computer science, we aim to clarify the functions and complexities of mobile robots required to solve various tasks. The robot model has many variations, such as the presence or absence of memory and communication functions and the definition of fields (continuous and discrete planes).

Selected publications and works

J. Nakamura, S. Kamei and Y. Yamauchi: “Evacuation from various types of finite two-dimensional square grid fields by a metamorphic robotic system”, Concurrency and Computation: Practice and Experience, p. e6628 (2021).
Y. Sudo, M. Shibata, J. Nakamura, Y. Kim and T. Masuzawa: “Self-stabilizing Population Protocols with Global Knowledge”, IEEE Transactions on Parallel and Distributed Systems, 32, 12, pp. 3011–3023 (2021).
J. Hirose, J. Nakamura, F. Ooshita and M. Inoue: “Weakly Byzantine Gathering with a strong team”, IEICE Transactions on Information and Systems, E105-D, 3, pp.451-555 (2022).

Keywords

distributed algorithms, mobile robot, mobile agent

Title of class

Introduction to Information and Communication Technology

Others (Awards, Committees, Board members)

2021年11月 Outstanding Paper Award. The Ninth International Symposium on Computing and Networking (CANDAR'21).
2021年9月 優秀研究賞. 第17回情報科学ワークショップ.
2020年11月 Outstanding Paper Award. The Eighth International Symposium on Computing and Networking (CANDAR'20).


to Pagetop