Updated on 2024/06/18

写真a

 
KUZE Naomi
 
Name of department
Faculty of Systems Engineering, Socio-Informatics
Job title
Lecturer
Concurrent post
Informatics Division（Lecturer）
Homepage
External link

Education

  • 2013
    -
    2016

    Osaka University   Graduate School of Information Science and Technology   情報ネットワーク学専攻 博士後期課程  

  • 2011
    -
    2013

    Osaka University   Graduate School of Information Science and Technology   情報ネットワーク学専攻 博士前期課程  

  • 2008
    -
    2011

    Osaka University   School of Engineering Science   情報科学科  

Degree

  • 博士（情報科学）   2016

Academic & Professional Experience

  • 2023.11
    -
    Now

    Wakayama University   Faculty of Systems Engineering   講師

  • 2018.05
    -
    2023.10

    Osaka University   Graduate School of Engineering Science   Assistant professor

  • 2016.04
    -
    2018.04

    Osaka University   Graduate School of Information Science and Technology   Specially appointed assistant professor

  • 2015.04
    -
    2016.03

    Osaka University   Graduate School of Information Science and Technology   Research fellow

  • 2013.04
    -
    2015.03

    Osaka University   Graduate School of Information Science and Technology   Research assistant

Association Memberships

  • INFORMATION PROCESSING SOCIETY OF JAPAN

  • IEEE

  • THE INSTITUTE OF ELECTRONICS, INFORMATION AND COMMUNICATION ENGINEERS

Research Areas

  • Informatics / Information networks

Research Interests

  • cyber physical system

  • Network security

  • Information network

  • Self-organization

  • Bio-inspired systems

  • ブロックチェーン

▼display all

Published Papers

  • ポテンシャルルーティングを対象としたブロックチェーン技術に基づいた悪性ノード検知・防御機構

    大津 奏人, 久世 尚美 （Part： Last author )

    電子情報通信学会 技術研究報告（NS2023-200）   123 ( 397 ) 166 - 171   2024.03

  • Distributed UAV Deployment Method for Jamming Avoidance

    Fumiki Yamashita, Naomi Kuze （Part： Last author )

    電子情報通信学会 技術研究報告（NS2023-203）   123 ( 397 ) 184 - 189   2024.03

  • 管理型ポテンシャルルーティングを対象としたフォールバック制御に基づいたfalse injection攻撃防御手法

    永田匡, 久世尚美 （Part： Last author )

    電子情報通信学会 技術研究報告 (NS2023-109)   123 ( 272 ) 1 - 6   2023.11

  • Learning-based black box checking for k-safety hyperproperties

    Naomi Kuze, Keiichiro Seno, Toshimitsu Ushio （Part： Lead author,　Corresponding author )

    Engineering Applications of Artificial Intelligence ( Elsevier BV )  126   107029 - 107029   2023.11  [Refereed]

    DOI

  • 強化学習に基づいた異種ロボット群のフロッキング制御

    正岡知也, 久世尚美 （Part： Last author )

    電子情報通信学会 技術研究報告 (CCS2023-7)   123 ( 67 ) 25 - 30   2023.06

  • Distributed traffic event detection mechanism based on collective decision making

    Yudai Yamamoto, Naomi Kuze, Toshimitsu Ushio

    電子情報通信学会 技術研究報告 (MSS2022-51)   122 ( 329 ) 37 - 41   2023.01

  • A mobile robot controller using reinforcement learning under scLTL specifications with uncertainties

    Jian Mi, Naomi Kuze, Toshimitsu Ushio

    Asian Journal of Control ( Wiley )  24 ( 6 ) 2916 - 2930   2022.11  [Refereed]

    DOI

  • センサーネットワークのためのポテンシャルゲームに基づく優先度を考慮したアンチジャミングチャネル選択

    山下史貴, 久世尚美, 潮俊光

    2022年 電子情報通信学会 NOLTAソサイエティ大会   ( NLS-23 )   2022.06

  • Stability Analysis and Control of Decision-Making of Miners in Blockchain

    Kosuke TODA, Naomi KUZE, Toshimitsu USHIO

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences ( Institute of Electronics, Information and Communications Engineers (IEICE) )  E105.A ( 4 ) 682 - 688   2022.04  [Refereed]

    DOI

  • Dynamics of miners' decision making under taxation in blockchain

    Kosuke Toda, Naomi Kuze, Toshimitsu Ushio

    Nonlinear Theory and Its Applications, IEICE ( Institute of Electronics, Information and Communications Engineers (IEICE) )  13 ( 2 ) 233 - 238   2022.04  [Refereed]

    DOI

  • ブロックチェーンにおけるマイナーの意思決定の進化ゲームによるモデリング

    戸田康介, 久世尚美, 潮俊光

    電子情報通信学会 技術研究報告書 (NLP2021-146)   121 ( 444 ) 105 - 110   2022.03

  • Attack Detection and Defense System Using an Unknown Input Observer for Cooperative Adaptive Cruise Control Systems

    Yudai Yamamoto, Naomi Kuze, Toshimitsu Ushio

    IEEE Access ( Institute of Electrical and Electronics Engineers (IEEE) )  9   148810 - 148820   2021.11  [Refereed]

    DOI

  • Game-Theoretic Approach to a Decision-Making Problem for Blockchain Mining

    Kosuke Toda, Naomi Kuze, Toshimitsu Ushio

    IEEE Control Systems Letters ( Institute of Electrical and Electronics Engineers (IEEE) )  5 ( 5 ) 1783 - 1788   2021.11  [Refereed]

    DOI

  • Classification of diversified web crawler accesses inspired by biological adaptation

    Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, Masayuki Murata

    International Journal of Bio-Inspired Computation ( Inderscience Publishers )  17 ( 3 ) 165 - 165   2021.04  [Refereed]

    DOI

  • 未知入力オブザーバを用いた協調型車間距離制御システムを対象とした攻撃検知

    山本雄大, 久世尚美, 潮俊光

    電子情報通信学会 技術研究報告 (MSS2020-48)   120 ( 429 ) 22 - 26   2021.03

  • Modeling and Supervisory Control of Blockchain Forks

    Kosuke TODA, Naomi KUZE, Toshimitsu USHIO

    IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences ( Institute of Electronics, Information and Communications Engineers (IEICE) )  E104.A ( 2 ) 474 - 475   2021.02  [Refereed]

    DOI

  • Effects of miners’ location on blocks selection in blockchain

    Kosuke Toda, Naomi Kuze, Toshimitsu Ushio

    IEICE Communications Express ( Institute of Electronics, Information and Communications Engineers ({IEICE}) )  9 ( 12 ) 610 - 615   2020.12  [Refereed]

    DOI

  • ブロックチェーンマイニングの意思決定問題の解析 ～ マイナーが3人の場合 ～

    戸田康介, 久世尚美, 潮俊光

    電子情報通信学会 技術研究報告 (MSS2020-26)   120 ( 246 ) 85 - 90   2020.11

  • False injection攻撃耐性を考慮したネットワーク化ドローン制御システムにおけるフォールバック制御

    久世尚美, 藤川雄斗, 潮俊光

    電子情報通信学会 技術研究報告 (NLP2020-30)   120 ( 165 ) 39 - 44   2020.09

  • UAV操作支援システムと軌道生成器の提案

    早川裕基, 坂口聡範, 潮俊光, 久世尚美, 安積卓也

    2019電子情報通信学会基礎・境界ソサイエティ／NOLTAソサイエティ大会     78   2020.06

  • WiP Abstract: Detection of False Injection Attacks Based on LTL for Fallback Control

    Naomi Kuze, Ami Sakakibara, Toshimitsu Ushio

    2020 ACM/IEEE 11th International Conference on Cyber-Physical Systems (ICCPS) ( IEEE )    194 - 195   2020.04  [Refereed]

    DOI

  • Network Control Mechanism Using Uncertain Information inspired by Collective Decision Making

    志垣沙衣子, 久世尚美, 小南大智, 加嶋健司, 村田正幸

    電子情報通信学会技術研究報告   119 ( 461 ) 297 - 302   2020.03

  • 需要予測を考慮した非同期タクシー経路支援システム

    高島相太, 久世尚美, 潮俊光

    2020年電子情報通信学会総合大会講演論文集     271   2020.03

  • Anti-jamming mobile control using QoS-based reinforcement learning

    Naomi Kuze, Taishi Nakashima, Toshimitsu Ushio

    IEICE Communications Express ( Institute of Electronics, Information and Communications Engineers ({IEICE}) )  8 ( 12 ) 501 - 506   2019.12  [Refereed]

    DOI

  • An application of reinforcement learning in anti-jamming mechanism of mobile robot path planning with co-safe temporal logic specifications

    宓建, 久世尚美, 潮俊光

    電子情報通信学会技術報告書（複雑コミュニケーションサイエンス研究会）   119 ( 289 ) 23 - 28   2019.09

  • WiP abstract: hierarchical taxi dispatch system with local coordination among micro-level components

    Sota Takashima, Naomi Kuze, Toshimitsu Ushio

    Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2019)     306 - 307   2019.04  [Refereed]

  • Self-Organizing Reliability Decision of Controller inspired by Collective Decision Making

    Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, Masayuki Murata

    Technical Report of IEICE (IN2018-108)   118 ( 466 ) 145 - 150   2019.03

  • Anti-jamming mobile control using QoS-based reinforcement learning

    Taishi Nakashima, Naomi Kuze, Toshimitsu Ushio

    IEICE General Conference 2019 ( Institute of Electronics, Information and Communications Engineers (IEICE) )  8 ( 12 ) 501 - 506   2019.03

    DOI

  • Self-organizing control mechanism based on collective decision-making for information uncertainty

    Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata

    ACM Transactions on Autonomous and Adaptive Systems   13 ( 1 ) 7:1 - 7:21   2018.04  [Refereed]

    　View Summary

    © 2018 Duke University.All right reserved. Because of the rapid growth in the scale and complexity of information networks, self-organizing systems are increasingly being used to realize novel network control systems that are highly scalable, adaptable, and robust. However, the uncertainty of information (with regard to incompleteness, vagueness, and dynamics) in self-organizing systems makes it difficult for them to work appropriately in accordance with the network state. In this study, we apply a model of the collective decision-making of animal groups to enable self-organizing control mechanisms to adapt to information uncertainty. Specifically, we apply a mathematical model of collective decision-making that is known as the effective leadership model (ELM). In the ELM, informed individuals (those who are experienced or well-informed) take the role of leading the others. In contrast, uninformed individuals (those who perceive only local information) follow neighboring individuals. As a result of the collective behavior of informed/uninformed individuals, the animal group achieves consensus. We consider a self-organizing control mechanism using potential-based routing with an optimal control, and propose a mechanism for determining a data-packet forwarding scheme based on the ELM. Through evaluation by simulation, we show that, in a situation in which the perceived information is incomplete and dynamic, nodes can forward data packets in accordance with the network state by applying the ELM.

    DOI

  • Channel Selection Mechanism with Uncertain Information Inspired by Collective Decision Making

    Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata

    Technical Report of IEICE (IN2017-118) ( 電子情報通信学会 )  117 ( 460 ) 171 - 176   2018.03

  • Self-Organized Network Control Using Uncertain Information Inspired by Collective Decision Making

    Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, Masayuki Murata

    Technical Report of IEICE (IN2017-118) ( 電子情報通信学会 )  117 ( 460 ) 225 - 230   2018.03

  • Self-Organizing Control Mechanisms According to Information Confidence for Improving Performance

    Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata

    2018 IEEE Global Communications Conference, GLOBECOM 2018 - Proceedings     1 - 6   2018  [Refereed]

    　View Summary

    © 2018 IEEE. Self-organizing systems are focused on to realize novel network control systems that are highly scalable, adaptable, and robust. However, the uncertainty of information makes it difficult for self-organizing systems to work appropriately, thereby degrading their performance. It is necessary to improve the performance of self-organizing systems while retaining their advantages. Therefore, we apply the concept of flexible leadership of the collective decision-making in human groups to self-organizing control mechanisms. By incorporating this concept, agents dynamically and flexibly change their role (leader or follower) according to the confidence of their own information, which increases decision accuracy under information uncertainty. We propose a channel-selection mechanism based on collective decision-making in accordance with information confidence. Simulation experiments show that the proposed mechanism improves the performance of network systems while retaining the high adaptability.

    DOI

  • Hierarchical Optimal Control Method for Controlling Large-Scale Self-Organizing Networks

    Naomi Kuze

    ACM Transactions on Autonomous and Adaptive Systems   12 ( 4 ) 22:1 - 22:23   2017.10  [Refereed]

    DOI

  • Self-organizing wireless sensor networks based on biological collective decision making for treating information uncertainty

    Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, Masayuki Murata

    Proceedings of The Tenth IEEE International Workshop on Selected Topics in Wireless and Mobile Computing (STWiMob 2017)     167 - 174   2017.10  [Refereed]

  • Self-organized multi-agent control method inspired by collective decision making

    Saeko Shigaki, Naomi Kuze, Daichi Kominami, Kenji Kashima, Masayuki Murata

    Technical Report of IEICE (IN2016-145) ( 電子情報通信学会 )  116 ( 485 ) 287 - 292   2017.03

  • Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments

    Naomi Kuze

    ACM Transactions on Autonomous and Adaptive Systems   11 ( 2 ) 9:1 - 9:25   2016.06  [Refereed]

    DOI

  • Detection of vulnerability scanning using features of collective accesses collected from several honeypots

    Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, Masayuki Murata

    Technical Report of IEICE (ICSS2015-55)   115 ( 488 ) 47 - 52   2016.03

  • Managed self-organizing control method inspired by adaptive biological behavior

    Naomi Kuze

    Graduate School of Information Science and Technology, Osaka University     2016.01

  • Detection of Vulnerability Scanning Using Features of Collective Accesses Based on Information Collected from Multiple Honeypots

    Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, Masayuki Murata

    NOMS 2016 - 2016 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM ( IEEE )    1067 - 1072   2016  [Refereed]

    　View Summary

    Attacks against websites are increasing rapidly with the expansion of web services. An increasing number of diversified web services make it difficult to prevent such attacks due to many known vulnerabilities in websites. To overcome this problem, it is necessary to collect the most recent attacks using decoy web honeypots and to implement countermeasures against malicious threats. Web honeypots collect not only malicious accesses by attackers but also benign accesses such as those by web search crawlers. Thus, it is essential to develop a means of automatically identifying malicious accesses from mixed collected data including both malicious and benign accesses. Specifically, detecting vulnerability scanning, which is a preliminary process, is important for preventing attacks. In this study, we focused on classification of accesses for web crawling and vulnerability scanning since these accesses are too similar to be identified. We propose a feature vector including features of collective accesses, e.g., intervals of request arrivals and the dispersion of source port numbers, obtained with multiple honeypots deployed in different networks for classification. Through evaluation using data collected from 37 honeypots in a real network, we show that features of collective accesses are advantageous for vulnerability scanning and crawler classification.

  • Website Vulnerability Scanning Detection Inspired by Biological Adaptation Toward Diversifying Communication Services

    Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, Masayuki Murata

    Computer Security Symposium 2015 (CSS 2015)   2015 ( 3 ) 512 - 519   2015.10

  • Crawler Classification using Ant-based Clustering Scheme

    Naomi Kuze, Shu Ishikura, Takeshi Yagi, Daiki Chiba, Masayuki Murata

    2015 10TH INTERNATIONAL CONFERENCE FOR INTERNET TECHNOLOGY AND SECURED TRANSACTIONS (ICITST) ( IEEE )    84 - 89   2015  [Refereed]

    　View Summary

    Attacks against websites are increasing rapidly with the expansion of web services. More and more diversified web services make it difficult to prevent such attacks due to many known vulnerabilities in websites. To overcome this problem, it is necessary to collect latest attacks using decoy web honeypots and to implement countermeasures against malicious threats. Web honeypots collect not only malicious accesses by attackers but also benign accesses such as those by web search crawlers. Thus, it is essential to develop a means of identifying malicious accesses automatically from mixed collected data including both malicious and benign accesses. In this study, we have focused on detection of crawlers whose accesses has been increasing rapidly. A related study proposed a crawler detection scheme in which crawlers are identified based on the features of well-known crawlers such as Google crawlers. However, the diversity of crawler accesses has been increasing rapidly, and adapting to that diversity is a challenging task. Therefore, we have adapted AntTree, a bio-inspired clustering scheme that has high scalability and adaptability, for crawler detection. Through our evaluations using data collected in a real network, we show that AntTree can detect crawlers more precisely than a conventional scheme.

  • Hierarchical optimal control method for controlling self-organized networks with light-weight cost

    Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata

    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) ( IEEE )    1 - 7   2015  [Refereed]

    　View Summary

    Self-organization has potential for high scalability, adaptability, flexibility, and robustness, which are vital features for realizing future networks. Convergence of self-organizing control, however, is comparatively slow in some practical applications. It is therefore important to enhance convergence of self-organizing controls without sacrificing the above advantages. Controlled self-organization is one key idea for that, which introduces an external controller into self-organizing systems to guide them to a desired state. We previously designed an external controller that provided the optimal input for fast convergence, however, it suffered from scalability issues. In this paper, we propose a hierarchical control system where a network is partitioned into some sub-networks, sub-controllers manage respective sub-networks, and the top-level deals with the global network stability. The proposed system achieves fast convergence speed with low computational and communication cost.

  • Potential-based routing with optimal feedback using reduced order model for controlled self-organizing networks

    Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata

    Technical Report of IEICE (IN2014-32)   114 ( 139 ) 13 - 18   2014.07

  • Robustness of potential-based routing with model predictive control

    Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata

    Technical Report of IEICE (IN2013-195)   113 ( 473 ) 305 - 310   2014.03

  • A predictive mechanism for enhancing adaptability of self-organised routing

    Naomi Kuze

    International Journal of Bio-Inspired Computation ( Inderscience Publishers )  6 ( 6 ) 384 - 384   2014.01

    DOI

  • Enhancing Convergence with Optimal Feedback for Controlled Self-Organizing Networks

    Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata

    2014 IEEE 80TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL) ( IEEE )    1 - 7   2014  [Refereed]

    　View Summary

    To tackle with problems emerging with rapid growth of information networks in scale and complexity, self-organization is one of promising design principles for future networks. Convergence of self-organizing controls, however, is pointed out to be comparatively slow in some practical applications. Therefore, it is important to reveal and enhance convergence of self-organizing controls. In controlled self-organization, which introduces an external observer/controller into self-organizing systems, systems are controlled in order to guide them to the desired state. Although previous controlled self-organization schemes could achieve this feature, convergence speed for reaching an optimal or a semi-optimal solution is still a challenging task. In this paper, we take potential-based self-organizing routing and provide an optimal feedback for faster convergence using the future state of the system. Simulation results show that the convergence speed of potentials is improved by 7.3 times with a proposed mechanism.

  • Proposal and evaluation of a predictive mechanism for ant-based routing

    Naomi Kuze, Daichi Kominami, Kenji Kashima, Tomoaki Hashimoto, Masayuki Murata

    Proceedings of International Conference on Emerging Network Intelligence (EMERGING 2013)     7 - 12   2013.09  [Refereed]

  • Proposal and evaluation of a predictive mechanism for controlled self-organization based routing

    Naomi Kuze

    Graduate School of Information Science and Technology, Osaka University     2013.02

  • Proposal and evaluation of ant-based routing with prediction

    Naomi Kuze, Naoki Wakamiya, Masayuki Murata

    Proceedings of the Fifth International Workshop on Guided Self-Organization (GSO-2012)     2012.09  [Refereed]

  • Proposal and Evaluation of AntNet Routing Mechanism with Autonomous Zoning

    KUZE Naomi, WAKAMIYA Naoki, MURATA Masayuki

    IEICE technical report. Information networks ( The Institute of Electronics, Information and Communication Engineers )  111 ( 469 ) 353 - 358   2012.03

    　View Summary

    To tackle problems emerging with rapid growth of information networks in scale and complexity, bio-inspired self-organization is considered one of promising design principles of a new generation network which is scalable, robust, adaptive, and sustainable. However, self-organizing systems would fall into local optimum or never converge under some environmental conditions. Controlled or guided self-organization is a novel concept attracting many researchers in these years, where loose and moderate control is imposed on a self-organizing system to push it toward a desired state. In this paper, we take AntNet, an ant-based routing protocol, as an example and consider a mechanism to accelerate convergence by limiting the search space. Controlled self-organization can accelerate convergence to a shorter path than AntNet.

  • Proposal and evaluation of ant-based routing with autonomous zoning for convergence improvement

    Naomi Kuze, Naoki Wakamiya, Masayuki Murata

    Proceedings of the 2012 15th International Conference on Network-Based Information Systems, NBIS 2012     290 - 297   2012  [Refereed]

    　View Summary

    To tackle problems emerging with rapid growth of information networks in scale and complexity, bio-inspired self organization is considered one of promising design principles of a new generation network which is scalable, robust, adaptive, and sustainable. However, self-organizing systems would fall into a local optimum or never converge under some environmental conditions. Controlled or guided self-organization is a novel concept attracting many researchers in these years, where loose and moderate control is imposed on a self-organizing system to push it toward a desired state. In this paper, we take Ant Net, an ant-based routing protocol, as an example and consider a mechanism to accelerate convergence by limiting the search space. The proposed mechanism is compared with Ant Net and HOPNET from viewpoints of the convergence time, path length, and control overhead. Simulation results show that our proposal can accelerate convergence of ant-based routing to a shorter path than Ant Net and with lower control overhead than HOPNET. © 2012 IEEE.

    DOI

▼display all

Awards & Honors

  • WIPセッション優秀賞

    Winner： 山本雄大, 久世尚美, 潮俊光

    2021.03   電子情報通信学会 システム数理と応用研究会   未知入力オブザーバを用いた協調型車間距離制御システムを対象とした攻撃検知

  • Best paper award

    Winner： Naomi Kuze, Naoki Wakamiya, Daichi Kominami, Masayuki Murata

    2013.09   International Conference on Emerging Network Intelligence (EMERGING 2013)   Proposal and evaluation of a predictive mechanism for ant-based routing

KAKENHI

  • 大規模・複雑なシステムに向けた生物の群れの仕組みに基づいた強化学習の枠組みの確立

    2024.04
    -
    2027.03
     

    Grant-in-Aid for Scientific Research(C)  Principal investigator

Competitive funding, donations, etc. from foundation, company, etc.

  • システム工学部寄附金(公益財団法人天野工業技術研究所研究助成2024年度前期募集)

    2024.04
    -
    2025.03
     

    Research subsidy  Principal investigator

Instructor for open lecture, peer review for academic journal, media appearances, etc.

  • 招へい教員

    2023.11.01
    -
    2024.03.31

    大阪大学基礎工学研究科

    　View Details

    招へい教員

    情報ネットワークにおけるセキュリティに関する教育研究（対面＋オンライン実施）
    知能システム学実験B「制御システムの設計」単元の授業担当（オンライン実施）