Title:
SYSTEM FOR ANALYZING DEGREE OF RISK FOR MALICIOUS CODE DISTRIBUTION SITE BY USING MACHINE LEARNING
Document Type and Number:
WIPO Patent Application WO/2019/027106
Kind Code:
A1
Abstract:
The present invention detects a malicious code distribution site and analyzes whether malicious code distribution is actually activated in a website discovered to be the distribution site, so as to calculate a degree of risk, and uses, as variables, repeatability, up-to-dateness, malicious code activation/inactivation, and the like of the malicious code distribution site, so as to continuously perform learning on the basis of the degree of risk, thereby enabling analysis of the degree of risk to be accurate.
Inventors:
LEE DAE HO (KR)
CHOI SUNG SU (KR)
SHIN KYOUNG A (KR)
PARK SEUNG PILL (KR)
YI HYOUNG (KR)
JIN SE MIN (KR)
LEE JUN HO (KR)
CHOI SUNG SU (KR)
SHIN KYOUNG A (KR)
PARK SEUNG PILL (KR)
YI HYOUNG (KR)
JIN SE MIN (KR)
LEE JUN HO (KR)
Application Number:
PCT/KR2017/014233
Publication Date:
February 07, 2019
Filing Date:
December 06, 2017
Export Citation:
Assignee:
F1 SECURITY INC (KR)
International Classes:
G06F21/57; G06F21/56; G06N3/08; H04L29/06
Foreign References:
| KR20160142268A | 2016-12-12 |
Attorney, Agent or Firm:
FRIENDS INTERNATIONAL PATENT AND LAW FIRM (KR)
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