研究者詳細 - 久世　尚美

論文 - 久世　尚美

分割表示 >> ／全件表示54 件中 1 - 54 件目

Reinforcement learning-based flocking control for aerial and ground vehicles

Tomoya Masaoka, Naomi Kuze (担当区分：最終著者,　責任著者 )

to be presented at The 16th International Conference on Ubiquitous and Future Networks (ICUFN2025) 2025年07月 [査読有り]

サイバー・フィジカル空間の融合に向けたサイバーセキュリティに関する取り組み

久世尚美 (担当区分：筆頭著者 )

電子情報通信学会技術研究報告（MSS2024-108） 124 ( 431 ) 208 - 208 2025年03月 [招待有り]

探索コスト低減のための強化学習とフロッキングに基づいたロボット群移動制御の検討

正岡知也, 久世尚美 (担当区分：最終著者 )

2025年電子情報通信学会総合大会 2025年03月

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 (担当区分：最終著者 )

電子情報通信学会技術研究報告（NS2023-200） 123 ( 397 ) 166 - 171 2024年03月

Distributed UAV Deployment Method for Jamming Avoidance

Fumiki Yamashita, Naomi Kuze (担当区分：最終著者 )

電子情報通信学会技術研究報告（NS2023-203） 123 ( 397 ) 184 - 189 2024年03月

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 (担当区分：最終著者 )

電子情報通信学会技術研究報告 (NS2023-109) 123 ( 272 ) 1 - 6 2023年11月

Learning-based black box checking for k-safety hyperproperties

Naomi Kuze, Keiichiro Seno, Toshimitsu Ushio (担当区分：筆頭著者,　責任著者 )

Engineering Applications of Artificial Intelligence ( Elsevier BV ) 126 107029 - 107029 2023年11月 [査読有り]

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 (担当区分：最終著者 )

電子情報通信学会技術研究報告 (CCS2023-7) 123 ( 67 ) 25 - 30 2023年06月

集団意思決定モデルを応用した分散型交通事象検知メカニズム

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 (MSS2022-51) 122 ( 329 ) 37 - 41 2023年01月

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年11月 [査読有り]

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年06月

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年04月 [査読有り]

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年04月 [査読有り]

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年03月

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年11月 [査読有り]

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年11月 [査読有り]

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年04月 [査読有り]

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年03月

Modeling and Supervisory Control of Blockchain Forks

Kosuke TODA, Naomi KUZE, Toshimitsu USHIO

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年12月 [査読有り]

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年11月

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年09月

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年06月

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年04月 [査読有り]

DOI

生物の集団的行動選択に基づく不確実な情報を用いた自己組織型ネットワーク制御手法の一検討

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(IN2019-128) 119 ( 461 ) 297 - 302 2020年03月

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年03月

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年12月 [査読有り]

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年09月

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

高島相太, 久世尚美, 潮俊光

Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS 2019) 306 - 307 2019年04月 [査読有り]

強化学習を用いたQoSベースのアンチジャミング移動制御

中嶋大志, 久世尚美, 潮俊光

IEICE 総合大会 2019 ( Institute of Electronics, Information and Communications Engineers (IEICE) ) 8 ( 12 ) 501 - 506 2019年03月

DOI

集団的な行動選択の仕組みに着想を得た自己組織的なコントローラの信頼度判定手法の提案

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 (IN2018-108) 118 ( 466 ) 145 - 150 2019年03月

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年04月 [査読有り]

© 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

集団的な行動選択の仕組みに着想を得た不確実な情報に基づくチャネル選択手法の提案と評価 (情報ネットワーク)

久世尚美, 小南大智, 加嶋健司, 橋本智昭, 村田正幸

電子情報通信学会技術研究報告 = IEICE technical report : 信学技報 ( 電子情報通信学会 ) 117 ( 460 ) 171 - 176 2018年03月

生物の集団的行動選択に着想を得た不確実な情報に基づく制御手法についての一検討 (情報ネットワーク)

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 = IEICE technical report : 信学技報 ( 電子情報通信学会 ) 117 ( 460 ) 225 - 230 2018年03月

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年 [査読有り]

© 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年10月 [査読有り]

DOI

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

志垣沙衣子, 久世尚美, 小南大智, 加嶋健司, 村田正幸

Proceedings of The Tenth IEEE International Workshop on Selected Topics in Wireless and Mobile Computing (STWiMob 2017) 167 - 174 2017年10月 [査読有り]

生物の集団的行動選択の仕組みに着想を得たマルチエージェント自己組織化制御手法の検討 (情報ネットワーク)

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 = IEICE technical report : 信学技報 ( 電子情報通信学会 ) 116 ( 485 ) 287 - 292 2017年03月

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年06月 [査読有り]

DOI

複数のハニーポットにおいて観測された情報に基づく通信のネットワーク上の特徴を考慮したぜい弱性スキャン識別

久世尚美, 石倉秀, 八木毅, 千葉大紀, 村田正幸

電子情報通信学会技術研究報告 (ICSS2015-55) 115 ( 488 ) 47 - 52 2016年03月

Managed self-organizing control method inspired by adaptive biological behavior

久世尚美

大阪大学大学院情報科学研究科 2016年01月

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年 [査読有り]

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.

通信の多様化に向けた生物の環境適応性に基づくWebサイトへのぜい弱性スキャン検知

久世尚美, 石倉秀, 八木毅, 千葉大紀, 村田正幸

コンピュータセキュリティシンポジウム2015論文集 2015 ( 3 ) 512 - 519 2015年10月

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年 [査読有り]

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年 [査読有り]

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.

低次元近似化したモデルを用いた最適制御のポテンシャルルーティングへの応用

久世尚美, 小南大智, 加嶋健司, 橋本智昭, 村田正幸

電子情報通信学会技術研究報告 (IN2014-32) 114 ( 139 ) 13 - 18 2014年07月

モデル予測制御を用いたポテンシャルルーティングのロバスト性に関する検討

久世尚美, 小南大智, 加嶋健司, 橋本智昭, 村田正幸

電子情報通信学会技術研究報告 (IN2013-195) 113 ( 473 ) 305 - 310 2014年03月

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年01月

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年 [査読有り]

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

久世尚美, 小南大智, 加嶋健司, 橋本智昭, 村田正幸

Proceedings of International Conference on Emerging Network Intelligence (EMERGING 2013) 7 - 12 2013年09月 [査読有り]

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

久世尚美

大阪大学大学院情報科学研究科 2013年02月

Proposal and evaluation of ant-based routing with prediction

久世尚美, 若宮直紀, 村田正幸

Proceedings of the Fifth International Workshop on Guided Self-Organization (GSO-2012) 2012年09月 [査読有り]

自律的な領域分割を行うゾーンベースアントルーチング手法の提案と評価

久世尚美, 若宮直紀, 村田正幸

電子情報通信学会技術研究報告. IN, 情報ネットワーク ( 一般社団法人電子情報通信学会 ) 111 ( 469 ) 353 - 358 2012年03月

ネットワークのさらなる大規模化,複雑化によって顕在化する様々な問題に対応できる新たなネットワークシステムを構築するため,生物などにみられる自己組織化の仕組みを応用する手法が注目を集めている.自己組織型のネットワーク制御技術は,拡張性,頑健性,適応性があることが示されているが,一方で,環境条件によっては局所解に陥る,収束性が低下する場合があることから,近年,制御された自己組織化の研究が行われるようになってきた.本研究では,アリの採餌行動に着想を得た経路制御手法AntNetを題材に,大域情報を用いることなく探索領域を狭めることで,経路全体の収束時間を短縮する手法を提案している.シミュレーション評価により,探索範囲を制限することで自己組織化が促進され,収束性が向上するとともに,より短い経路が得られることを示した.

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年 [査読有り]

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

　前のページ-次のページ　

<久世 尚美>

論文 - 久世 尚美

<久世　尚美>

論文 - 久世　尚美