Title:
LEARNING DATA GENERATION DEVICE, METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2022/259297
Kind Code:
A1
Abstract:
In one aspect of the present invention, a learning data generation device acquires system management information that defines the functions of a target system, and generates a mirror environment corresponding to the actual environment of the target system on the basis of the acquired system management information. For the generated mirror environment, a first operating state simulating a normal operating state in the actual environment of the target system and a second operating state equivalent to an abnormal operating state in the actual environment of the target system are selectively set, operation data respectively generated from the mirror environment in the set first operating state and the second operating state is collected, and the collected operation data is outputted as learning data to the learning model.
Inventors:
LI DI (JP)
AKASHI KAZUAKI (JP)
NOZUE HARUHISA (JP)
AKASHI KAZUAKI (JP)
NOZUE HARUHISA (JP)
Application Number:
PCT/JP2021/021536
Publication Date:
December 15, 2022
Filing Date:
June 07, 2021
Export Citation:
Assignee:
NIPPON TELEGRAPH & TELEPHONE (JP)
International Classes:
H04L12/70
Foreign References:
| JP2019022099A | 2019-02-07 |
Other References:
KAWASAKI JUNICHI; MOURI GENICHI; SUZUKI YUSUKE: "Comparative Analysis of Network Fault Classification Using Machine Learning", NOMS 2020 - 2020 IEEE/IFIP NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM, IEEE, 20 April 2020 (2020-04-20), pages 1 - 6, XP033777760, DOI: 10.1109/NOMS47738.2020.9110454
Attorney, Agent or Firm:
KURATA, Masatoshi et al. (JP)
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