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1. (WO2019027106) SYSTEM FOR ANALYZING DEGREE OF RISK FOR MALICIOUS CODE DISTRIBUTION SITE BY USING MACHINE LEARNING
Latest bibliographic data on file with the International Bureau    Submit observation

Pub. No.: WO/2019/027106 International Application No.: PCT/KR2017/014233
Publication Date: 07.02.2019 International Filing Date: 06.12.2017
IPC:
G06F 21/57 (2013.01) ,G06F 21/56 (2013.01) ,G06N 3/08 (2006.01) ,H04L 29/06 (2006.01)
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
21
Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
50
Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
57
Certifying or maintaining trusted computer platforms, e.g. secure boots or power-downs, version controls, system software checks, secure updates or assessing vulnerabilities
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
F
ELECTRIC DIGITAL DATA PROCESSING
21
Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
50
Monitoring users, programs or devices to maintain the integrity of platforms, e.g. of processors, firmware or operating systems
55
Detecting local intrusion or implementing counter-measures
56
Computer malware detection or handling, e.g. anti-virus arrangements
G PHYSICS
06
COMPUTING; CALCULATING; COUNTING
N
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3
Computer systems based on biological models
02
using neural network models
08
Learning methods
H ELECTRICITY
04
ELECTRIC COMMUNICATION TECHNIQUE
L
TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
29
Arrangements, apparatus, circuits or systems, not covered by a single one of groups H04L1/-H04L27/136
02
Communication control; Communication processing
06
characterised by a protocol
Applicants:
주식회사 에프원시큐리티 F1 SECURITY INC. [KR/KR]; 서울시 구로구 디지털로26길 72 207호 207 72, Digital-ro 26-gil Guro-gu Seoul 08393, KR
Inventors:
이대호 LEE, Dae Ho; KR
최성수 CHOI, Sung Su; KR
신경아 SHIN, Kyoung A; KR
박승필 PARK, Seung Pill; KR
이형 YI, Hyoung; KR
진세민 JIN, Se Min; KR
이준호 LEE, Jun Ho; KR
Agent:
특허법인 프렌즈 FRIENDS INTERNATIONAL PATENT AND LAW FIRM; 서울시 서초구 언남5길 4 (양재동, 프렌즈빌딩) (Friends Bldg., Yangjae-dong) 4, Eonnam 5-gil, Seocho-gu Seoul 06778, KR
Priority Data:
10-2017-009749101.08.2017KR
Title (EN) SYSTEM FOR ANALYZING DEGREE OF RISK FOR MALICIOUS CODE DISTRIBUTION SITE BY USING MACHINE LEARNING
(FR) SYSTÈME D'ANALYSE DU DEGRÉ DE RISQUE DESTINÉ À UN SITE DE DISTRIBUTION DE CODE MALVEILLANT À L'AIDE D'UN APPRENTISSAGE MACHINE
(KO) 머신러닝을 이용한 악성코드 유포지 위험도 분석 시스템
Abstract:
(EN) 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.
(FR) La présente invention détecte un site de distribution de code malveillant et analyse si une distribution de code malveillant est réellement activée dans un site Web découvert comme étant le site de distribution, de façon à calculer un degré de risque, et utilise, en tant que variables, une répétitivité, une mise à jour, une activation/inactivation de code malveillant, et analogue(s) du site de distribution de code malveillant, de façon à réaliser en continu un apprentissage sur la base du degré de risque, ce qui permet d'analyser le degré de risque pour être précis.
(KO) 본 발명은 악성코드 유포지를 탐지하여 유포지로 발견되는 웹사이트에 대해 실제 악성코드 유포가 활성화 되어 있는지 여부 등을 분석하여 위험도를 산정하고, 이를 바탕으로 악성코드 유포지의 반복성, 최신성, 악성코드 활성화 여부 등을 변수로 하여, 계속적으로 학습함으로써, 위험도 분석에 정확성을 가져올 수 있다.
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Designated States: AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BN, BR, BW, BY, BZ, CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW
African Regional Intellectual Property Organization (ARIPO) (BW, GH, GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, UG, ZM, ZW)
Eurasian Patent Office (AM, AZ, BY, KG, KZ, RU, TJ, TM)
European Patent Office (EPO) (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, LT, LU, LV, MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TR)
African Intellectual Property Organization (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, KM, ML, MR, NE, SN, TD, TG)
Publication Language: Korean (KO)
Filing Language: Korean (KO)