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Satoru Kobayashi
Satoru Kobayashi
Verified email at okayama-u.ac.jp - Homepage
Title
Cited by
Cited by
Year
Mining causality of network events in log data
S Kobayashi, K Otomo, K Fukuda, H Esaki
IEEE Transactions on Network and Service Management 15 (1), 53-67, 2017
652017
Towards an NLP-based log template generation algorithm for system log analysis
S Kobayashi, K Fukuda, H Esaki
Proceedings of the ninth international conference on future internet …, 2014
382014
Mining causes of network events in log data with causal inference
S Kobayashi, K Fukuda, H Esaki
2017 IFIP/IEEE Symposium on Integrated Network and Service Management (IM …, 2017
272017
Causal analysis of network logs with layered protocols and topology knowledge
S Kobayashi, K Otomo, K Fukuda
Proceedings of the 15th International Conference on Network and Service …, 2019
172019
Latent variable based anomaly detection in network system logs
K Otomo, S Kobayashi, K Fukuda, H Esaki
IEICE TRANSACTIONS on Information and Systems 102 (9), 1644-1652, 2019
172019
A quantitative causal analysis for network log data
R Jarry, S Kobayashi, K Fukuda
2021 IEEE 45th Annual Computers, Software, and Applications Conference …, 2021
72021
amulog: A general log analysis framework for diverse template generation methods
S Kobayashi, Y Yamashiro, K Otomo, K Fukuda
2020 16th International Conference on Network and Service Management (CNSM), 1-5, 2020
72020
Arp request trend fitting for detecting malicious activity in lan
K Matsufuji, S Kobayashi, H Esaki, H Ochiai
Proceedings of the 13th International Conference on Ubiquitous Information …, 2019
72019
An analysis of burstiness and causality of system logs
K Otomo, S Kobayashi, K Fukuda, H Esaki
Proceedings of the 13th Asian Internet Engineering Conference, 16-23, 2017
62017
Logdtl: Network log template generation with deep transfer learning
T Nguyen, S Kobayashi, K Fukuda
2021 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2021
52021
Finding anomalies in network system logs with latent variables
K Otomo, S Kobayashi, K Fukuda, H Esaki
Proceedings of the 2018 Workshop on Big Data Analytics and Machine Learning …, 2018
42018
Comparative causal analysis of network log data in two large ISPs
S Kobayashi, K Shima, K Cho, O Akashi, K Fukuda
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium, 1-6, 2022
32022
Latent semantics approach for network log analysis: modeling and its application
K Otomo, S Kobayashi, K Fukuda, H Esaki
2021 IFIP/IEEE International Symposium on Integrated Network Management (IM …, 2021
32021
amulog: A general log analysis framework for comparison and combination of diverse template generation methods
S Kobayashi, Y Yamashiro, K Otomo, K Fukuda
International Journal of Network Management 32 (4), e2195, 2022
22022
Network log template generation from open source software
Y Yamashiro, S Kobayashi, K Fukuda, H Esaki
IEICE Technical Report; IEICE Tech. Rep. 118 (204), 15-22, 2018
22018
Verifying Network Properties in SRv6 based Service Function Chaining
R Shiiba, S Kobayashi, O Akashi, K Fukuda
Proceedings of the 16th Asian Internet Engineering Conference, 18-26, 2021
12021
A Scheme of Extracting Network Configuration Template Blocks Based on Tucker Decomposition
D Hanamitsu, K Mizutani, S Kobayashi, K Fukuda, O Akashi
IEICE Proceedings Series 68 (P1-14), 2021
12021
Automatic Document Labelling to Network Log Data
A Tokubi, K Otomo, S Kobayashi, K Fukuda, H Esaki
IEICE Technical Report; IEICE Tech. Rep. 120 (186), 1-6, 2020
12020
An Implementation of Effective Server Resource Management Scheme Using Deep Reinforcement Learning
T Kawakita, K Mizutani, S Kobayashi, K Fukuda, O Akashi
IEICE Proceedings Series 72 (S8-5), 2022
2022
A Novel Network Configuration Generation Scheme from Network Operator's Intent Described by Natural Language
M Suzuki, K Mizutani, S Kobayashi, K Fukuda, O Akashi
IEICE Proceedings Series 72 (S2-1), 2022
2022
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Articles 1–20