Title:
CLUSTERING METHOD AND SYSTEM FOR DETECTING ABNORMAL TRANSACTION IN ELECTRONIC COMMERCE
Document Type and Number:
WIPO Patent Application WO/2023/003261
Kind Code:
A1
Abstract:
The present invention relates to a method and a system for tracing an abnormal transaction in electronic commerce, and a purpose thereof is to trace an abnormal transaction by analyzing complex feature data of product information uploaded onto an electronic commerce platform. In order to accomplish the purpose, the present invention provides a method for tracing an abnormal transaction by an electronic device, the method comprising the steps of: (a) generating an identity map on the basis of first transaction information pre-stored in an electronic commerce server; (b) collecting second transaction information newly uploaded onto the electronic commerce server; (c) extracting a first identifier and a second identifier included in the second transaction information and combining a plurality of second identifiers to each other to generate a third identifier; and (d) searching for the first identifier and the third identifier in the identity map to determine whether the second transaction information is an abnormal transaction.
Inventors:
CHAE SO YOUNG (KR)
HWANG IN WOOK (KR)
KIM KI CHEOL (KR)
HWANG IN WOOK (KR)
KIM KI CHEOL (KR)
Application Number:
PCT/KR2022/010204
Publication Date:
January 26, 2023
Filing Date:
July 13, 2022
Export Citation:
Assignee:
S2W INC (KR)
International Classes:
G06Q30/06; G06K19/07; G06Q30/00; G08B21/18
Foreign References:
| KR101834260B1 | 2018-03-06 | |||
| US20200169603A1 | 2020-05-28 | |||
| JP2005011049A | 2005-01-13 | |||
| KR20160064710A | 2016-06-08 | |||
| KR20170083330A | 2017-07-18 |
Attorney, Agent or Firm:
DODAM IP LAW FIRM (KR)
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