Korea University Research and Business Foundation

Young In You

Kyung Ho Lee

Jae Hee Lee

Hyun Sik Yoon

Ju Hyeon Lee

Seon Ju Kim

Da Hee Choi

Chae Woon Kim

In Hyun Cho

Jun Hyoung Oh

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.

Apparatus and method of detecting abnormal financial transaction

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.

Method and apparatus for measurement of information-security-controlling status

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Seoul, South Korea

Young In You