Faculty Profiles - Kobayashi Satoru

写真a

Kobayashi Satoru

Organization

Faculty of Environmental, Life, Natural Science and Technology Assistant Professor

Homepage

http://www.3at.work

External link

Degree

Ph.D. in Information Science and Technology ( 2018.3 The University of Tokyo )

Research Areas

Informatics / Information network

Research History

Okayama University Fuculty of Environmental, Life, Natural Science and Technology Assistant Professor

2023.4

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Country：Japan

Notes：(所属部局名の変更)

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Okayama University Fuculty of Natural Science and Technology Assistant Professor

2022.10 - 2023.3

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Country：Japan

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National Institute of Informatics Information Systems Architecture Science Research Division Project Researcher

2018.4 - 2022.9

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Professional Memberships

ACM

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IPSJ

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IEEE

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IEICE

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Papers

Investigation Towards Detecting Landing Websites for Fake Japanese Shopping Websites Reviewed

Daigo Michishita, Satoru Kobayashi, Toshihiro Yamauchi

The 13-th International Conference on Emerging Internet, Data & Web Technologies (EIDWT-2025), Lecture Notes on Data Engineering and Communications Technologies 107 - 119 2025.4

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Language：English Publishing type：Research paper (international conference proceedings) Publisher：Springer Nature Switzerland

DOI： 10.1007/978-3-031-86149-9_11

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Verifying Network-level Properties for Large-scale Networks with Header Transformations in Realtime Reviewed

Ryusei Shiiba, Satoru Kobayashi, Osamu Akashi, Hiroki Shirokura, Kensuke Fukuda

Journal of Information Processing 33 41 - 54 2025.2

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Language：English Publishing type：Research paper (scientific journal) Publisher：Information Processing Society of Japan

DOI： 10.2197/ipsjjip.33.41

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Effectiveness of MAC Systems based on LSM and their Security Policy Configuration for Protecting IoT Devices Reviewed

Masato Miki, Toshihiro Yamauchi, Satoru Kobayashi

Journal of Internet Services and Information Security 14 ( 3 ) 293 - 315 2024.8

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Language：English Publishing type：Research paper (scientific journal) Publisher：SASA Publications

The number of attacks exploiting Internet of Things (IoT) devices has been increasing with the emergence of IoT malware targeting IoT devices. The use of IoT devices in a wide variety of situations has resulted in an urgent need to improve the security of the IoT devices themselves. However, the IoT devices themselves have low hardware performance and their operating systems and applications are not frequently updated, leaving many devices vulnerable to IoT malware attacks. Mandatory Access Control (MAC) systems based on Linux Security Modules (LSM), such as SELinux and AppArmor, can mitigate the impact of these attacks, even if software vulnerabilities are discovered and exploited. However, most IoT devices do not currently employ these systems. While existing approaches have examined on-board resources as one factor affecting the applicability of MAC systems, they are insufficient to address all relevant factors. In this paper, we report the factors that may prevent the deployment of LSM-based secure OS in IoT devices and the results of our evaluation of the effectiveness of LSM-based secure OS against IoT malware attacks. First, we comprehensively investigated the impact of each factor of IoT devices on the deployment of LSM-based secure OS. To improve the comprehensiveness of the factors affecting the deployment, we investigated the kernel version, CPU architecture, and BusyBox support. Next, we conducted an attack experiment that simulated the attack method of Mirai, a typical IoT malware, to investigate whether it is possible to protect against IoT malware. We also showed how to modify the security policy, and the cost of modifying it, for secure OSs that cannot prevent attacks from IoT malware with the default security policy. Finally, we report the results of our investigation into the impact of these factors in combination.

DOI： 10.58346/jisis.2024.i3.018

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Exploring the Discovery Process of Fresh IPv6 Prefixes: An Analysis of Scanning Behavior in Darknet and Honeynet Reviewed

Liang Zhao, Satoru Kobayashi, Kensuke Fukuda

Passive and Active Measurement Conference (PAM 2024), Lecture Notes in Computer Science (LNCS) 14537 95 - 111 2024.3

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Language：English Publishing type：Research paper (international conference proceedings) Publisher：Springer Nature Switzerland

DOI： 10.1007/978-3-031-56249-5_4

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netroub: Towards an Emulation Platform for Network Trouble Scenarios Reviewed International coauthorship

Colin Regal-Mezin, Satoru Kobayashi, Toshihiro Yamauchi

Proceedings of the CoNEXT Student Workshop 2023 17 - 18 2023.12

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Language：English Publishing type：Research paper (international conference proceedings) Publisher：ACM

DOI： 10.1145/3630202.3630222

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Analyzing Post-injection Attacker Activities in IoT Devices: A Comprehensive Log Analysis Approach Reviewed International coauthorship

Hervet Victor, Satoru Kobayashi, Toshihiro Yamauchi

Proceedings of the 2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW) 292 - 297 2023.11

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Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/CANDARW60564.2023.00055

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Evaluation of Effectiveness of MAC Systems Based on LSM for Protecting IoT Devices Reviewed

Masato Miki, Toshihiro Yamauchi, Satoru Kobayashi

Proceedings of the 11th International Symposium on Computing and Networking (CANDAR 2023) 161 - 167 2023.11

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Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/CANDAR60563.2023.00029

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dot2net: A labeled graph approach for template-based configuration of emulation networks Reviewed

Satoru Kobayashi, Ryusei Shiiba, Ryosuke Miura, Shinsuke Miwa, Toshiyuki Miyachi, Kensuke Fukuda

Proceedings of the 19th International Conference on Network and Service Management (CNSM 2023) 342 - 350 2023.11

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Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.23919/CNSM59352.2023.10327865

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An Implementation of Effective Server Resource Management Scheme Using Deep Reinforcement Learning Reviewed

Toshiki Kawakita, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi

Proceedings of the International Conference on Emerging Technologies for Communications ( S8-5 ) 1 - 1 2022.11

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Language：Japanese Publishing type：Research paper (international conference proceedings)

DOI： 10.34385/proc.72.S8-5

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A Novel Network Configuration Generation Scheme from Network Operator's Intent Described by Natural Language Reviewed

Masaya Suzuki, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi

Proceedings of the International Conference on Emerging Technologies for Communications ( S2-1 ) 1 - 1 2022.11

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Language：Japanese Publishing type：Research paper (international conference proceedings)

DOI： 10.34385/proc.72.S2-1

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Comparative Causal Analysis of Network Log Data in Two Large ISPs Reviewed

Satoru Kobayashi, Keiichi Shima, Kenjiro Cho, Osamu Akashi, Kensuke Fukuda

Proceedings of the 7th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2022) 2022.4

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Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/NOMS54207.2022.9789823

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amulog: A general log analysis framework for comparison and combination of diverse template generation methods Reviewed International journal

Satoru Kobayashi, Yuya Yamashiro, Kazuki Otomo, Kensuke Fukuda

International Journal of Network Management 32 ( 4 ) 2021.12

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Authorship：Lead author Language：English Publishing type：Research paper (scientific journal) Publisher：Wiley

DOI： 10.1002/nem.2195

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Other Link： https://onlinelibrary.wiley.com/doi/full-xml/10.1002/nem.2195
A Scheme of Extracting Network Configuration Template Blocks Based on Tucker Decomposition Reviewed

Daisuke Hanamitsu, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi

Proceedings of the International Conference on Emerging Technologies for Communications ( P1-14 ) 1 - 1 2021.12

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Language：Japanese Publishing type：Research paper (international conference proceedings)

DOI： 10.34385/proc.68.P1-14

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Verifying Network Properties in SRv6 based Service Function Chaining Reviewed

Ryusei Shiiba, Satoru Kobayashi, Osamu Akashi, Kensuke Fukuda

Proceesings of the 16th Asian Internet Engineering Conference (AINTEC 2021) 18 - 26 2021.12

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Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1145/3497777.3498546

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Other Link： https://dblp.uni-trier.de/db/conf/aintec/aintec2021.html#ShiibaKAF21
Towards Extracting Semantics of Network Config Blocks Reviewed

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi, Kimihiro Mizutani, Hiroshi Esaki

Proceesings of the 9th IEEE International Workshop on Architecture, Design, Deployment & Management of Networks & Applications (ADMNET 2021) 1438 - 1443 2021.7

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Language：English Publishing type：Research paper (international conference proceedings) Publisher：IEEE

DOI： 10.1109/COMPSAC51774.2021.00214

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Other Link： https://dblp.uni-trier.de/db/conf/compsac/compsac2021.html#OtomoKFAME21
A Quantitative Causal Analysis for Network Log Data Reviewed International coauthorship

Richard Jarry, Satoru Kobayashi, Kensuke Fukuda

Proceedings of the 9th IEEE International Workshop on Architecture, Design, Deployment & Management of Networks & Applications (ADMNET 2021) 1444 - 1449 2021.7

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Authorship：Corresponding author Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1109/COMPSAC51774.2021.00213

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LogDTL: Network Log Template Generation with Deep Transfer Learning Reviewed International coauthorship

Thieu Nguyen, Satoru Kobayashi, Kensuke Fukuda

Proceedings of the 6th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2021) 848 - 853 2021.5

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Language：English Publishing type：Research paper (international conference proceedings)

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Latent Semantics Approach for Network Log Analysis: Modeling and its application Reviewed

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

Proceedings of the 17th IFIP/IEEE International Symposium on Integrated Network Management (IM 2021) 215 - 223 2021.5

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Language：English Publishing type：Research paper (international conference proceedings)

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amulog: A General Log Analysis Framework for Diverse Template Generation Methods Reviewed

Satoru Kobayashi, Yuya Yamashiro, Kazuki Otomo, Kensuke Fukuda

Proceedings of the CNSM 2020 2020.11

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Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

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大規模 IPv6 アドレスの収集・分析 Reviewed

新津雄大, 小林諭, 福田健介, 江崎浩

電子情報通信学会論文誌 J103-B ( 6 ) 223 - 233 2020.6

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Language：Japanese Publishing type：Research paper (scientific journal)

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Causal analysis of network logs with layered protocols and topology knowledge Reviewed

Satoru Kobayashi, Kazuki Otomo, Kensuke Fukuda

Proceedings of CNSM 2019 2019.10

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Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.23919/CNSM46954.2019.9012718

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Latent Variable based Anomaly Detection in Network System Logs Reviewed

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

IEICE Transactions on Information and Systems E102-D ( 9 ) 1644 - 1652 2019.9

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Language：English Publishing type：Research paper (scientific journal)

DOI： 10.1587/transinf.2018OFP0007

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ARP Request Trend Fitting for Detecting Malicious Activity in LAN Reviewed

Kai Matsufuji, Satoru Kobayashi, Hiroshi Esaki, Hideya Ochiai

Proceedings of IMCOM 2019 89 - 96 2019.1

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Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1007/978-3-030-19063-7_8

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Finding Anomalies in Network System Logs with Latent Variables Reviewed

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

Workshop on Big Data Analytics and Machine Learning for Data Communication Networks (BigDAMA) 8 - 14 2018.8

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Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1145/3229607.3229608

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Mining Causality of Network Events in Log Data Reviewed

Satoru Kobayashi, Kazuki Otomo, Kensuke Fukuda, Hiroshi Esaki

IEEE Transactions on Network and Service Management 15 ( 1 ) 53 - 67 2018.3

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Authorship：Lead author Language：English Publishing type：Research paper (scientific journal) Publisher：Institute of Electrical and Electronics Engineers Inc.

Network log messages (e.g., syslog) are expected to be valuable and useful information to detect unexpected or anomalous behavior in large scale networks. However, because of the huge amount of system log data collected in daily operation, it is not easy to extract pinpoint system failures or to identify their causes. In this paper, we propose a method for extracting the pinpoint failures and identifying their causes from network syslog data. The methodology proposed in this paper relies on causal inference that reconstructs causality of network events from a set of time series of events. Causal inference can filter out accidentally correlated events, thus it outputs more plausible causal events than traditional cross-correlation-based approaches can. We apply our method to 15 months' worth of network syslog data obtained from a nationwide academic network in Japan. The proposed method significantly reduces the number of pseudo correlated events compared with the traditional methods. Also, through three case studies and comparison with trouble ticket data, we demonstrate the effectiveness of the proposed method for practical network operation.

DOI： 10.1109/TNSM.2017.2778096

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Analyzing Burstness and Casuality of System logs Reviewed

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

ACM SIGCOMM CoNEXT 2017 Student Workshop 2017.12

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Language：English Publishing type：Research paper (international conference proceedings)

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An Analysis of Burstiness and Causality of System Logs Reviewed

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

Proceedings of AINTEC 2017 2017.11

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Language：English Publishing type：Research paper (international conference proceedings)

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Mining causes of network events in log data with causal inference Reviewed

Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

Proceedings of the IM 2017 - 2017 IFIP/IEEE International Symposium on Integrated Network and Service Management 45 - 53 2017.7

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Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings) Publisher：Institute of Electrical and Electronics Engineers Inc.

Network log message (e.g., syslog) is valuable information to detect unexpected or anomalous behavior in a large scale network. However, pinpointing failures and their causes is not an easy problem because of a huge amount of system log data in daily operation. In this study, we propose a method extracting failures and their causes from network syslog data. The main idea of the method relies on causal inference that reconstructs causality of network events from a set of the time series of events. Causal inference allows us to reduce the number of correlated events by chance, thus it outputs more plausible causal events than a traditional cross-correlation based approach. We apply our method to 15 months network syslog data obtained in a nation-wide academic network in Japan. Our method significantly reduces the number of pseudo correlated events compared with the traditional method. Also, through two case studies and comparison with trouble ticket data, we demonstrate the effectiveness of our method for network operation.

DOI： 10.23919/INM.2017.7987263

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Application of Change Point Detection to System Logs for Fault Detection Reviewed

Yu Komohara, Satoru Kobayashi, Hideya Ochiai, Hiroshi Esaki

ACM SIGCOMM CoNEXT 2016 Student Workshop (Poster Session) 2016.12

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Language：English Publishing type：Research paper (international conference proceedings)

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Causation mining in network logs Reviewed

Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

ACM SIGCOMM CoNEXT 2016 Student Workshop 2016.12

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Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

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Towards an NLP-based log template generation algorithm for system log analysis Reviewed

Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

Proceedings of CFI 2014 2014.6

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Authorship：Lead author Language：English Publishing type：Research paper (international conference proceedings)

DOI： 10.1145/2619287.2619290

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MISC

ネットワークログメッセージの出力元関数の自動特定手法の提案

小林諭, Gaspard Damoiseau-Malraux, 福田健介

電子情報通信学会技術研究報告 : 信学技報 124 ( 393 ) 15 - 22 2025.3

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Authorship：Lead author Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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偽ショッピングサイトへ誘導する踏み台サイトの検出のための実態調査

道下大悟, 小林諭, 山内利宏

コンピュータセキュリティシンポジウム 2024 (CSS2024) 論文集 1095 - 1101 2024.10

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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)

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実行ファイルにおける関数配置順序ランダム化手法の適用によるコード再利用攻撃への耐性評価

佐治和馬, 山内利宏, 小林諭, 谷口秀夫

コンピュータセキュリティシンポジウム 2024 (CSS2024) 論文集 8 - 15 2024.10

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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)

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シグナル受信処理の即時実行開始手法

大野裕美子, 山内利宏, 小林諭, 谷口秀夫

情報処理学会第86回全国大会講演論文集 2024.3

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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)

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ネットワークログの対話的因果解析の検討

小林諭, 石井宏典, 山内利宏, 明石修, 福田健介

電子情報通信学会技術研究報告 : 信学技報 123 ( 422 ) 233 - 240 2024.3

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Authorship：Lead author Language：Japanese Publishing type：Research paper, summary (national, other academic conference)

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ネットワークログ解析におけるイベント間因果情報可視化の検討

石井宏典, 小林諭, 福田健介, 山内利宏

電子情報通信学会総合大会 B-7-25 2024.3

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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)

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HPCにおけるGang Schedulingの切替間隔動的変更手法

西本伊織, 山内利宏, 小林諭, 加藤純, 三輪真弘, 谷口秀夫

情報処理学会研究報告 2024-OS-162 ( 15 ) 1 - 7 2024.2

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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実行ファイルにおける関数配置順序のランダム化によるコード再利用攻撃への耐性向上手法の提案

佐治和馬, 山内利宏, 小林諭, 谷口秀夫

情報処理学会シンポジウムシリーズコンピュータセキュリティシンポジウム 2023 (CSS2023) 論文集 2023 1357 - 1364 2023.10

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Language：English Publishing type：Research paper, summary (national, other academic conference)

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Implementation of Function for Tracing Diffusion of Classified Information to Support Inter-VM Communication on KVM

Kohei Otani, Satoru Kobayashi, Toshihiro Yamauchi, Hideo Taniguchi

IPSJ SIG Technical Report 2023-CSEC-100 ( 62 ) 1 - 8 2023.3

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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HPCクラウドにおける割り込み処理によるOSノイズの影響の評価

西本伊織, 小林諭, 山内利宏, 加藤純, 佐藤充, 谷口秀夫

情報処理学会研究報告 2023-OS-158 ( 28 ) 1 - 7 2023.2

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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ネットワークコンフィグの潜在的特徴抽出手法の提案と評価

花光大輔, 水谷后宏, 小林諭, 福田健介, 明石修

2022年度情報処理学会関西支部支部大会講演論文集 ( G-02 ) 2022.9

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Language：Japanese Publishing type：Research paper, summary (national, other academic conference)

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Towards a Collaborative Operational Data Analysis for Automated Network Management

Satoru Kobayashi, Kensuke Fukuda

IEICE Technical Report 122 ( 85 ) 1 - 7 2022.6

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Authorship：Lead author Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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Automatic Document Labelling to Network Log Data

Ayato Tokubi, Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

IEICE Technical Report 120 ( 186 ) 1 - 6 2020.10

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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Design of Honeynet to avoid IPv6 alias detection

Hyuga Kobayashi, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

IEICE Technical Report 119 ( 343 ) 13 - 18 2019.12

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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Improving Network Log Analysis by Semantics

Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

IEICE Technical Report 119 ( 343 ) 7 - 12 2019.12

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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Log Template Estimation with Bridged Refinement

Yuya Yamashiro, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

IEICE Technical Report 119 ( 318 ) 13 - 18 2019.11

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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Towards application of network topology information to network log causal anlaysis

Satoru Kobayashi, Kazuki Otomo, Kensuke Fukuda

IEICE Technical Report 118 ( 360 ) 1 - 8 2018.12

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Authorship：Lead author Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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Collecting a large number of active IPv6 addresses

Yudai Aratsu, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

IEICE Technical Report 118 ( 204 ) 1 - 8 2018.9

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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Network Log Template Generation from Open Source Software

Yuya Yamashiro, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

IEICE Technical Report 118 ( 204 ) 15 - 22 2018.9

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Language：Japanese Publishing type：Internal/External technical report, pre-print, etc.

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Presentations

Design and Implementation of IPv6 Scan Detection System

Liang Zhao, Satoru Kobayashi, Kensuke Fukuda

IEICE General Conference 2023.3.10

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Event date： 2023.3.7 - 2023.3.10

Language：English Presentation type：Poster presentation

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Toward a compositional data plane verification for large-scale networks

Ryusei Shiiba, Satoru Kobayashi, Osamu Akashi, Kensuke Fukuda

The 17th Asian Internet Engineering Conference (AINTEC 2022) 2022.12.20

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Event date： 2022.12.19 - 2022.12.21

Language：Japanese Presentation type：Poster presentation

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Causal Analysis of Network Log Events Invited

Satoru Kobayashi

JFLI Workshop 2020 on Next Generation Networking 2020.2.18

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Event date： 2020.2.17 - 2020.2.18

Language：English Presentation type：Oral presentation (invited, special)

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Dot2tinet: A graph-based network configuration platform for large-scale emulation networks

Satoru Kobayashi, Ryusei Shiiba, Kensuke Fukuda

The 17th Asian Internet Engineering Conference (AINTEC 2022) 2022.12.20

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Language：English Presentation type：Poster presentation

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Approach to Better Log Template Generation

Yuya Yamashiro, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

Internet Conference 2018 2018.11

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Language：English Presentation type：Poster presentation

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Collecting a large number of active IPv6 addresses

Yudai Aratsu, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki

Internet Conference 2018 2018.11

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Language：Japanese Presentation type：Poster presentation

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Mining causality of network events in log data Invited

Satoru Kobayashi

International Cloud Resiliency Workshop 2018.10.17

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Language：English Presentation type：Oral presentation (invited, special)

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Awards

CSS2023奨励賞

2023.11 コンピュータセキュリティシンポジウム2023 実行ファイルにおける関数配置順序のランダム化によるコード再利用攻撃への耐性向上手法の提案

佐治和馬, 山内利宏, 小林諭, 谷口秀夫

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IA研究賞(優秀研究賞)

2021.6 電子情報通信学会インターネットアーキテクチャ研究会ネットワークログデータへの自動文書ラベリングの提案

徳備彩人, 大友一樹, 小林諭, 福田健介, 江崎浩

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IA研究賞(優秀研究賞)

2019.6 電子情報通信学会インターネットアーキテクチャ研究会大規模IPv6アドレス収集手法に関する検討

新津雄大, 小林諭, 福田健介, 江崎浩

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Award type：Award from Japanese society, conference, symposium, etc.

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Dean’s award for outstanding thesis (master’s thesis)

2015.3 The University of Tokyo, Graduate school of Information Science and Technology

Satoru Kobayashi

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Research Projects

オペレータ知識を活用するネットワーク障害原因究明支援技術の研究

Grant number：25K15079 2025.04 - 2030.03

日本学術振興会科学研究費助成事業基盤研究(C)

小林諭

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Authorship：Principal investigator

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機密VM環境における機密情報の拡散追跡と証拠保全を実現する基盤ソフトウェアの研究

Grant number：25K03119 2025.04 - 2029.03

日本学術振興会科学研究費助成事業基盤研究(B)

山内利宏, 谷口秀夫, 森山英明, 佐藤将也, 葛野弘樹, 小林諭

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Authorship：Coinvestigator(s)

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ネットワーク障害原因究明支援技術のためのオペレータ知識基盤の評価と改善

Grant number：251S1-22594 2025.04 - 2026.03

国立情報学研究所 2025年度国立情報学研究所公募型共同研究戦略研究公募型戦略研究公募型

小林諭, 福田健介, 明石修

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Authorship：Principal investigator

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ネットワーク障害原因究明支援技術へのオペレータ知識導入に関する研究

2024.04 - 2025.03

国立情報学研究所 2024年度国立情報学研究所公募型共同研究戦略研究公募型

小林諭, 福田健介, 明石修

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Authorship：Principal investigator

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ネットワーク障害原因究明支援に向けたネットワークログ対話的因果解析のための運用データ統合可視化システムの研究

Grant number：23S0901 2023.04 - 2024.03

国立情報学研究所 2023年度国立情報学研究所公募型共同研究戦略研究公募型

小林諭, 福田健介, 山内利宏, 明石修

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Authorship：Principal investigator

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機器毎のソフトウェア構成変更による攻撃難化と攻撃耐性を持つ基盤ソフトウェアの研究

Grant number：22H03592 2022.04 - 2026.03

日本学術振興会科学研究費助成事業基盤研究(B)

山内利宏, 谷口秀夫, 森山英明, 佐藤将也, 葛野弘樹, 小林諭

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Authorship：Coinvestigator(s) Grant type：Competitive

Grant amount：\17290000 （ Direct expense: \13300000 、 Indirect expense：\3990000 ）

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ネットワーク自動運用のための運用データ連携解析

Grant number：22K17886 2022.04 - 2025.03

日本学術振興会科学研究費助成事業若手研究

小林諭

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Authorship：Principal investigator

Grant amount：\4680000 （ Direct expense: \3600000 、 Indirect expense：\1080000 ）

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セマンティクス抽出と因果解析によるネットワーク障害対応支援に関する研究

2019.06 - 2022.03

総務省戦略的情報通信研究開発推進制度

福田健介, 小林諭, 明石修, 長健二朗, 島慶一

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Authorship：Coinvestigator(s) Grant type：Competitive

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Knowledge mining of large-scale network operational data for troubleshooting and predictive analysis

Grant number：19K20262 2019.04 - 2021.03

Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research Grant-in-Aid for Early-Career Scientists

Kobayashi Satoru

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Authorship：Principal investigator Grant type：Competitive

In this research, we proposed a new analysis approach for network operational data on the basis of causal inference, to help troubleshooting of large-scale networks. We proposed two analysis frameworks: "amulog", a general log analysis framework to estimate log templates and classify messages with them in online processing, and "logdag", a causal analysis framework designed for network operational data including logs and measured SNMP data. The proposed technology will help operators to extract contextual information in operational data automatically.

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Software Development Practice （2024academic year） Prophase - その他
Software Development Methodology (Basic) （2024academic year） Prophase - 月3～8
Software Development Methodology (Advanced) （2024academic year） Prophase - 月3～8
Software Development Methodology 1 （2024academic year） Prophase - 月3～8
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Information Technology Experiments A (Computer Hardware) （2024academic year） 1st semester - 月3～7,木3～7
Information Technology Experiments C (Computer Software) （2024academic year） Fourth semester - 火3～7,金3～7
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Information Technology Experiments C (Computer Software) （2024academic year） Fourth semester - 火3～7,金3～7
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Technical Presentation （2024academic year） Late - その他
Specific Research of Electronics and Information Systems Engineering （2024academic year） Year-round - その他
Exercises on Programming 1 （2023academic year） 1st semester - 水1～3
Exercises on Programming 2 （2023academic year） Second semester - 水1～3
Exercises on Programming 1 （2023academic year） 1st semester - 水1～3
Exercises on Programming 2 （2023academic year） Second semester - 水1～3
Information Technology Experiments A (Computer Hardware) （2023academic year） 1st semester - 月3～7,木3～7
Information Technology Experiments C (Computer Software) （2023academic year） Fourth semester - 火3～7,金3～7
Information Technology Experiments A (Computer Hardware) （2023academic year） 1st semester - 月3～7,木3～7
Information Technology Experiments C (Computer Software) （2023academic year） Fourth semester - 火3～7,金3～7
Engineering English （2023academic year） Late - その他
Advanced Study （2023academic year） Other - その他
Technical Writing 1 （2023academic year） Prophase - その他
Technical Writing 2 （2023academic year） Late - その他
Information Technology Experiments C (Computer Software) （2022academic year） Fourth semester - 火3～7,木3～7

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