Satoru Kobayashi

english / japanese

Profile

Affiliation

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

Experience

Degree

Membership

E-mail

Main research topics

  1. amulog (Automated network log analysis)
  2. netroub (Synthetic data collection platform based on emulation networks)
  3. dot2net (Topology-driven emulation network configuraion platform)

Publications

Journal

  1. Ryusei Shiiba, Satoru Kobayashi, Osamu Akashi, Hiroki Shirokura, Kensuke Fukuda, “Verifying network-level properties for large-scale networks with header transformations in realtime,” Journal of Information Processing, 2025 (To appear)

  2. Masato Miki, Toshihiro Yamauchi, Satoru Kobayashi, “Effectiveness of MAC Systems Based on LSM and Their Security Policy Configuration for Protecting IoT Device”, Journal of Internet Services and Information Security (JISIS), vol.14, issue 3, pp. 293-315, 2024 (10.58346/JISIS.2024.I3.018)

  3. Satoru Kobayashi, Yuya Yamashiro, Kazuki Otomo, Kensuke Fukuda, “amulog: A General Log Analysis Framework for Comparison and Combination of Diverse Template Generation Methods”, International Journal of Network Management, Wiley, vol.32, no.4, 2022 (10.1002/nem.2195, accepted_version, submit_version)

  4. 新津 雄大, 小林 諭, 福田 健介, 江崎 浩, “大規模IPv6アドレスの収集・分析”, 電子情報通信学会論文誌, Vol.J103-B, No.6, pp.223-233, Jun, 2020 (10.14923/transcomj.2019JBT0002, paper)

  5. Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Latent Variable based Anomaly Detection in Network System Logs”, IEICE Transactions on Information and Systems, pp.1644-1652, Vol.E102-D, No.9, September, 2019 (10.1587/transinf.2018OFP0007, paper)

  6. Satoru Kobayashi, Kazuki Otomo, Kensuke Fukuda, Hiroshi Esaki, “Mining Causality of Network Events in Log Data”, IEEE Transactions on Network and Service Management, pp.53-67, vol.15, no.1, March, 2018 (10.1109/TNSM.2017.2778096, paper)

International Conference (w/ review)

  1. Liang Zhao, Satoru Kobayashi, Kensuke Fukuda, “Exploring the Discovery Process of Fresh IPv6 Prefixes: An Analysis of Scanning Behavior in Darknet and Honeynet,” Passive and Active Measurement Conference (PAM 2024), Lecture Notes in Computer Science (LNCS), Springer, vol.14537, pp.95-111, Mar 2024 (10.1007/978-3-031-56249-5_4, paper)

  2. Colin Regal-Mezin, Satoru Kobayashi, Toshihiro Yamauchi, “netroub: Towards an Emulation Platform for Network Trouble Scenarios”, in Proceedings of the CoNEXT Student Workshop 2023 (CoNEXT-SW ’23), ACM SIGCOMM, pp.17-18, Paris, France, Dec 2023 (10.1145/3630202.3630222)

  3. Masato Miki, Toshihiro Yamauchi, Satoru Kobayashi, “Evaluation of Effectiveness of MAC Systems Based on LSM for Protecting IoT Devices”, in Proceedings of the 11th International Symposium on Computing and Networking (CANDAR 2023), p.161-167, Matsue, Japan, Nov 2023 (10.1109/CANDAR60563.2023.00029)

  4. Hervet Victor, Satoru Kobayashi, Toshihiro Yamauchi, “Analyzing Post-injection Attacker Activities in IoT Devices: A Comprehensive Log Analysis Approach”, in Proceedings of the 2023 Eleventh International Symposium on Computing and Networking Workshops (CANDARW), presented in the 10th International Workshop on Information and Communication Security (WICS 2023), p.292-297, Matsue, Japan, Nov 2023 (10.1109/CANDARW60564.2023.00055)

  5. Satoru Kobayashi, Ryusei Shiiba, Ryosuke Miura, Shinsuke Miwa, Toshiyuki Miyachi, Kensuke Fukuda, “dot2net: A labeled graph approach for template-based configuration of emulation networks”, in Proceedings of the 19th International Conference on Network and Service Management (CNSM 2023), pp.342-350, Niagara Falls, Canada, Oct 2023 (10.23919/CNSM59352.2023.10327865, IFIP, paper, slide)

  6. Toshiki Kawakita, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi, “An Implementation of Effective Resource Management Scheme Using Deep Reinforcement Learning,” in Proceedings of the International Conference on Emerging Technologies for Communications, S8-5, Nov 2022 (10.34385/proc.72.S8-5)

  7. Masaya Suzuki, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi, “A Novel Network Configuration Generation Scheme from Network Operator’s Intent Described by Natural Language,” in Proceedings of the International Conference on Emerging Technologies for Communications, S2-1, p.1, Nov 2022 (10.34385/proc.72.S2-1)

  8. Satoru Kobayashi, Keiichi Shima, Kenjiro Cho, Osamu Akashi, Kensuke Fukuda, “Comparative Causal Analysis of Network Log Data in Two Large ISPs”, the 7th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2022), p.6, Budapest, Hungary, April, 2022 (10.1109/NOMS54207.2022.9789823, paper, slide)

  9. Ryusei Shiiba, Satoru Kobayashi, Osamu Akashi, Kensuke Fukuda, “Verifying Network Properties in SRv6 based Service Function Chaining” , the 16th Asian Internet Engineering Conference (AINTEC 2021), pp.18-26, Virtual, December, 2021 (10.1145/3497777.3498546)

  10. Daisuke Hanamitsu, Kimihiro Mizutani, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi, “A Scheme of Extracting Network Configuration Template Blocks Based on Tucker Decomposition”, International Conference on Emerging Technologies for Communications, p.1, December, 2021 (10.34385/proc.68.P1-14)

  11. Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Osamu Akashi, Kimihiro Mizutani, Hiroshi Esaki, “Towards Extracting Semantics of Network Config Blocks”, the 9th IEEE International Workshop on Architecture, Design, Deployment & Management of Networks & Applications (ADMNET 2021), pp.1444-1449, Virtual, July, 2021 (10.1109/COMPSAC51774.2021.00214, paper)

  12. Richard Jarry, Satoru Kobayashi, Kensuke Fukuda, “A Quantitative Causal Analysis for Network Log Data”, the 9th IEEE International Workshop on Architecture, Design, Deployment & Management of Networks & Applications (ADMNET 2021), pp.1438-1443, Virtual, July, 2021 (10.1109/COMPSAC51774.2021.00213, paper, slide)

  13. Thieu Nguyen, Satoru Kobayashi, Kensuke Fukuda, “LogDTL: Network Log Template Generation with Deep Transfer Learning”, the 6th IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2021), pp.848-853, Virtual, May, 2021 (IFIP, IEEE, paper, slide)

  14. Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Latent Semantics Approach for Network Log Analysis: Modeling and its application”, the 17th IFIP/IEEE International Symposium on Integrated Network Management (IM’21), pp.215-223, Virtual, May, 2021 (IFIP, IEEE, paper)

  15. Satoru Kobayashi, Yuya Yamashiro, Kazuki Otomo, Kensuke Fukuda, “amulog: A General Log Analysis Framework for Diverse Template Generation Methods”, the 16th IFIP/IEEE International Conference on Network and Service Management (CNSM’20), pp.1-5, Virtual, November, 2020 (10.23919/CNSM50824.2020.9269049, IFIP, paper, poster, slide)

  16. Satoru Kobayashi, Kazuki Otomo, Kensuke Fukuda, “Causal analysis of network logs with layered protocols and topology knowledge”, the 15th IFIP/IEEE International Conference on Network and Service Management (CNSM’19), pp.1-9, Halifax, Canada, October, 2019 (10.23919/CNSM46954.2019.9012718, IFIP, paper, slide)

  17. Kai Matsufuji, Satoru Kobayashi, Hiroshi Esaki, Hideya Ochiai, “ARP Request Trend Fitting for Detecting Malicious Activity in LAN”, International Conference on Ubiquitous Information Management and Communication (IMCOM), pp.89-96, Phuket, Thailand, January, 2019 (10.1007/978-3-030-19063-7_8)

  18. Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Finding Anomalies in Network System Logs with Latent Variables”, Workshop on Big Data Analytics and Machine Learning for Data Communication Networks (Big-DAMA), ACM SIGCOMM, pp.8-14, Budapest, Hungary, August, 2018 (10.1145/3229607.3229608, paper)

  19. Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Analyzing Burstiness and Causality of System logs”, the 13th International Conference on emerging Networking EXperiments and Technologies (CoNEXT’17) Student Workshop, ACM SIGCOMM, p.2, Seoul, South Korea, December, 2017

  20. Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “An Analysis of Burstiness and Causality of System Logs”, Asian Internet Engineering Conference (AINTEC’17), pp.16-23, Bangkok, Thailand, November, 2017 (10.1145/3154970.3154973, paper)

  21. Satoru Kobayashi, Kensuke Fukuda and Hiroshi Esaki, “Mining causes of network events in log data with causal inference”, the 13th IFIP/IEEE International Symposium on Integrated Network Management (IM’17), pp.45-53, Lisbon, Portugal, May, 2017 (10.23919/INM.2017.7987263, IFIP paper, slide)

  22. Satoru Kobayashi, Kensuke Fukuda and Hiroshi Esaki, “Causation mining in network logs”, the 12th International Conference on emerging Networking EXperiments and Technologies (CoNEXT’16) Student Workshop, ACM SIGCOMM, p.2, Irvine, California, December, 2016 (paper)

  23. Yu Komohara, Satoru Kobayashi, Hideya Ochiai, Hiroshi Esaki, “Application of Change Point Detection to System Logs for Fault Detection”, the 12th International Conference on emerging Networking EXperiments and Technologies (CoNEXT’16) Student Workshop (Poster Session), p.2, Irvine, California, December, 2016

  24. Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Towards an NLP-based Log Template Generation Algorithm for System Log Analysis”, the Ninth International Conference on Future Internet Technologies (CFI’14), p.4, Tokyo, Japan, June, 2014 (10.1145/2619287.2619290, paper)

Technical Report

  1. Satoru Kobayashi, Hironori Ishii, Toshihiro Yamauchi, Osamu Akashi, Kensuke Fukuda, “Towards Interactive Causal Analysis of Network Logs”, IEICE Technical Report, Mar 2024 (link)

  2. Kazuma Saji, Toshihiro Yamauchi, Satoru Kobayashi, Hideo Taniguchi, “Improving Code Reuse Attack Resistance based on Function Address Randomization in Executable Files”, Computer Securiry Symposium 2023, vol.2023, pp.1357-1364, 2023. (link)

  3. Kohei Otani, Satoru Kobayashi, Toshihiro Yamauchi, Hideo Taniguchi, “Implementation of Function for Tracing Diffusion of Classified Information to Support Inter-VM Communication on KVM”, IPSJ SIG Technical Report, 2023-CSEC-100, no. 62, pp. 1-8, Mar 2023 (link)

  4. Satoru Kobayashi, Kensuke Fukuda, “Towards a Collaborative Operational Data Analysis for Automated Network Management”, IEICE Technical Report, vol. 122, no. 85, IA2022-1, pp. 1-7, Jun 2022 (link)

  5. Ayato Tokubi, Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Automatic Document Labelling to Network Log Data”, IEICE Technical Report, vol. 120, no. 186, IA2020-14, pp. 1-6, Oct 2020 (link)

  6. Kazuki Otomo, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Improving Network Log Analysis by Semantics”, IEICE Technical Report, vol. 119, no. 343, IA2019-49, pp. 7-12, Dec 2019 (link)

  7. Hyuga Kobayashi, Yudai Aratsu, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Design of Honeynet to avoid IPv6 alias detection”, IEICE Technical Report, vol. 119, no. 343, IA2019-50, pp. 13-18, Dec 2019 (link)

  8. Yuya Yamashiro, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Log Template Estimation with Bridged Refinement”, IEICE Technical Report, vol. 119, no. 318, IA2019-45, pp. 13-18, Nov 2019 (link)

  9. Satoru Kobayashi, Kazuki Otomo, Kensuke Fukuda, “Towards application of network topology information to network log causal anlaysis”, IEICE Technical Report, vol. 118, no. 360, IA2018-40, pp. 1-8, Dec 2018 (link, slide)

  10. Yuya Yamashiro, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Network Log Template Generation from Open Source Software”, IEICE Technical Report, vol. 118, no. 204, IA2018-18, pp. 15-22, Sep 2018 (link)

  11. Yudai Aratsu, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Collecting a large number of active IPv6 addresses”, IEICE Technical Report, vol. 118, no. 204, IA2018-16, pp. 1-8, Sep 2018 (link)

Oral Presentation

  1. Satoru Kobayashi, “Causal Analysis of Network Log Events”, JFLI Workshop 2020 on Next Generation Networking, Tokyo, Japan, Feb, 2020 (Invited, link, slide)

  2. Satoru Kobayashi, “Mining causality of network events in log data”, International Cloud Resiliency Workshop 2018, Xi’an, China, Oct, 2018 (Invited, link, slide)

Poster Presentation

  1. Liang Zhao, Satoru Kobayashi, Kensuke Fukuda, “Design and Implementation of IPv6 Scan Detection System”, IEICE General Conference, Omiya, 2023年3月

  2. Satoru Kobayashi, Ryusei Shiiba, Kensuke Fukuda, “Dot2tinet: A graph-based network configuration platform for large-scale emulation networks”, The 17th Asian Internet Engineering Conference (AINTEC 2022), Hiroshima, Japan, Dec 2022

  3. Ryusei Shiiba, Satoru Kobayashi, Osamu Akashi, Kensuke Fukuda, “Toward a compositional data plane verification for large-scale networks”, The 17th Asian Internet Engineering Conference (AINTEC 2022), Hiroshima, Japan, Dec 2022

  4. Yuya Yamashiro, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Approach to Better Log Template Generation”, Internet Conference 2018, Tokyo, Japan, Nov, 2018 (Poster Award)

  5. Yudai Aratsu, Satoru Kobayashi, Kensuke Fukuda, Hiroshi Esaki, “Collecting a large number of active IPv6 addresses”, Internet Conference 2018, Tokyo, Japan, Nov, 2018 (Poster Award)

Activities

Awards

  1. IEEE/IFIP IM 2017 Student Travel Grants, May, 2017

  2. ACM SIGCOMM Grants/CoNext 2016, Dec, 2016

  3. Dean’s award for outstanding thesis (master’s thesis), March, 2015

Research Funds

  1. JSPS Grant-in-Aid for Early-Career Scientists, “Collaborative operational data analysis for network automation”, Apr 2022 - Mar 2025 (As principal researcher, 22K17886)

  2. MIC Strategic Information and Communications R&D Promotion Programme (SCOPE), “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”, Apr 2019 - Mar 2022 (#191603009)

  3. JSPS Grant-in-Aid for Early-Career Scientists, “Knowledge mining of large-scale network operational data for troubleshooting and predictive analysis”, Apr 2019 - Mar 2021 (As principal researcher, 19K20262)

Committee

  1. Student Travel Awards chair, IFIP Networking, 2024

  2. Technical Program Committee, IFIP Networking, 2024

  3. Technical Program Committee, International Workshop on Intent-Based Networking, 2023

  4. IPSJ Journal Reviewer, 2021-Current

Lecture

Others

Satoru Kobayashi received the Ph.D. degree in information science and technology from the University of Tokyo, Tokyo Japan, in 2018.
He is an Assistant Professor at Faculty of Environmental, Life, Natural Science and Technology, Okayama University.
His research interests are network management and data mining.

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