Title:
FRAUDULENT CALL DETECTION SYSTEM BASED ON MACHINE LEARNING AND CONTROL METHOD THEREOF
Document Type and Number:
WIPO Patent Application WO/2021/033851
Kind Code:
A1
Abstract:
Disclosed are a fraudulent call detection system based on machine learning and a control method thereof. The control method of the fraudulent call detection system of the present invention comprises the steps of: extracting or receiving pre-stored call processing data to perform normalization processing so as to have the same length according to a preset algorithm for each field; determining each parameter of an artificial intelligence system by performing machine learning utilizing the data normalized in the previous step as an input value; and determining a fraud call by applying at least one of real-time call connection data and call detail record (CDR) data to the artificial intelligence system.
Inventors:
KIM JONG-JOO (KR)
Application Number:
PCT/KR2019/017932
Publication Date:
February 25, 2021
Filing Date:
December 18, 2019
Export Citation:
Assignee:
GENIETEC CO LTD (KR)
International Classes:
H04M3/22; G06N3/02
Foreign References:
| KR20150129301A | 2015-11-19 | |||
| KR20110079044A | 2011-07-07 | |||
| KR20140003945A | 2014-01-10 | |||
| KR20150065083A | 2015-06-12 | |||
| US20160134757A1 | 2016-05-12 |
Attorney, Agent or Firm:
KIM, Ham-Kon (KR)
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