公开(公告)号：US20180357419A1

公开(公告)日：2018-12-13

申请号：US15534708

申请日：2015-08-24

Applicant: Korea University Research and Business Foundation

Inventor： Kyung Ho Lee ,  Young In You ,  Seon Ju Kim ,  In Hyun Cho ,  Hyun Sik Yoon

IPC: G06F21/57

CPC classification number: G06F21/577 ,  G06F21/57 ,  G06F2221/034

Abstract: A method for measurement of an information-security-controlling status in accordance with the present disclosure includes receiving actual inspection data obtained by actually inspecting whether each domain complies with each security-controlling item, computing security-controlling status measurement scores for each domain on the basis of a significance grade of each control item, the degree of compliance with a corresponding control item, and a weighting set by a measurement manager, computing a final security-controlling status measurement score for a parent organization to which each domain belongs on the basis of an average of the security-controlling status measurement scores for each domain, and outputting the computed security-controlling status measurement scores and final security-controlling status measurement score.

公开(公告)号：US11763308B2

公开(公告)日：2023-09-19

申请号：US15992814

申请日：2018-05-30

Applicant: KOREA UNIVERSITY RESEARCH AND BUSINESS FOUNDATION

Inventor： Kyung Ho Lee ,  Da Hee Choi ,  Jae Hee Lee ,  Jun Hyoung Oh ,  Young In You ,  Chae Woon Kim ,  Ju Hyeon Lee

IPC: G06Q20/40 ,  G06Q20/42 ,  G06Q30/0601

CPC classification number: G06Q20/4016 ,  G06Q20/425 ,  G06Q30/0609

Abstract: Provided are a method of detecting abnormal financial transactions and an apparatus thereof. The apparatus includes: a memory in which an abnormal transaction detection program is stored; and a processor configured to execute the program. Upon execution of the program, the processor performs a data preprocessing operation to acquired payment data, extracts at least one feature adaptively determined in advance from results of the preprocessing operation, and uses the extracted feature to determine whether the payment data correspond to an abnormal transaction through a machine learning algorithm adaptively determined in advance.

公开(公告)号：US11019497B2

公开(公告)日：2021-05-25

申请号：US16223521

申请日：2018-12-18

Applicant: Korea University Research and Business Foundation

Inventor： Kyung Ho Lee ,  Dahee Choi ,  Won Park ,  Junhyoung Oh ,  Ju Hyeon Lee ,  Chang Yeon Kim ,  Youngin You

IPC: G06F21/57 ,  H04W12/128 ,  G06N20/00 ,  H04L29/06 ,  G06F21/56

Abstract: Disclosed is an apparatus for managing a risk of a malware behavior in a mobile operating system, which includes: a deducing unit configured to deduce characteristics of a malware from results of a static analysis on mobile malware data and a dynamic analysis thereon under a virtual environment by using a blacklist including an indicator of compromise (IOC) utilized in an existing mobile malware.

公开(公告)号：US10452852B2

公开(公告)日：2019-10-22

申请号：US15534708

申请日：2015-08-24

Applicant: Korea University Research and Business Foundation

Inventor： Kyung Ho Lee ,  Young In You ,  Seon Ju Kim ,  In Hyun Cho ,  Hyun Sik Yoon

IPC: G06F21/57

Abstract: A method for measurement of an information-security-controlling status in accordance with the present disclosure includes receiving actual inspection data obtained by actually inspecting whether each domain complies with each security-controlling item, computing security-controlling status measurement scores for each domain on the basis of a significance grade of each control item, the degree of compliance with a corresponding control item, and a weighting set by a measurement manager, computing a final security-controlling status measurement score for a parent organization to which each domain belongs on the basis of an average of the security-controlling status measurement scores for each domain, and outputting the computed security-controlling status measurement scores and final security-controlling status measurement score.