Title:
MODE DETERMINING DEVICE, METHOD, NETWORK SYSTEM, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2018/131561
Kind Code:
A1
Abstract:
The present invention enables an improvement in determination accuracy when monitoring traffic and performing mode determination in real-time. This mode determining device is provided with: a filter unit into which traffic data for learning are input, and which uses teacher data to learn timing of mode switching in the traffic data; and a mode learning unit which generates a mode learning model for mode determination, on the basis of the traffic data for learning corresponding to the timing of the mode switching and the teacher data; wherein the mode learning model is used to determine the mode of the traffic data.
Inventors:
KANEKO HIROYA (JP)
IWAI TAKANORI (JP)
ITOH NOBUHIKO (JP)
IWAI TAKANORI (JP)
ITOH NOBUHIKO (JP)
Application Number:
PCT/JP2018/000184
Publication Date:
July 19, 2018
Filing Date:
January 09, 2018
Export Citation:
Assignee:
NEC CORP (JP)
International Classes:
H04L12/70; G06N99/00
Foreign References:
| US20140113588A1 | 2014-04-24 |
Other References:
"CD-ROM", IPSJ JOURNAL, 15 February 2012 (2012-02-15)
VANDANA M ET AL.: "Self Learning Network Traffic Classification", INNOVATIONS IN INFOMATION EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) 2015 INTERNATIONAL CONFERENCE, 19 March 2015 (2015-03-19), pages 1 - 5, XP033192312
VANDANA M ET AL.: "Self Learning Network Traffic Classification", INNOVATIONS IN INFOMATION EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) 2015 INTERNATIONAL CONFERENCE, 19 March 2015 (2015-03-19), pages 1 - 5, XP033192312
Attorney, Agent or Firm:
KATO, Asamichi (JP)
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