Satoru Kobayashi

english / japanese

Profile

Affiliation

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

Experience

Degree

Mail

Publications

Journal

  1. 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, vol.32, no.4, Wiley, Dec, 2021 (10.1002/nem.2195, submit_version)

  2. 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)

  3. 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)

  4. 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. 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), Budapest, Hungary, April, 2022 (10.1109/NOMS54207.2022.9789823, paper, slide)

  2. 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)

  3. 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)

  4. 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)

  5. 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)

  6. 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)

  7. 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)

  8. 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)

  9. 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)

  10. 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)

  11. 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)

  12. 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

  13. 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)

  14. 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)

  15. 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)

  16. 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

  17. 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, 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)

  2. 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)

  3. 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)

  4. 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)

  5. 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)

  6. 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)

  7. 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)

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

  2. 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. IPSJ Journal Reviewer, 2021-Current

External Peer Review

  1. IEEE Transactions on Network and Service Management, 2019-2022

  2. IEICE Transactions on Communications, 2018

  3. IEEE International Workshop on Big Data Management and Infrastructure for the Internet of Things, 2018

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 a Project Researcher at the National Institute of Informatics (NII).
His research interests are network management and data mining.

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