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Subject

A User Grouping Method for Detection of Data Leakage by Cooperation Insiders
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내부 사용자들의 협력에 의한 정보유출 탐지를 위한 사용자 그룹화 방법

논문 기본 정보

Type
Academic journal
Author
Hee-Jin Shin (숭실대학교 대학원 융합소프트웨어학과) Kim Myung-Ho (숭실대학교)
Journal
한국IT정책경영학회 한국IT정책경영학회 논문지 한국IT정책경영학회 논문지 제10권 제1호 KCI Accredited Journals
Published
2018.1
Pages
719 - 726 (8page)

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A User Grouping Method for Detection of Data Leakage by Cooperation Insiders
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Abstract· Keywords

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To prevent internal data leakage or minimize damage, many companies use security solutions that detect and detect individual patterns of spill behavior. However, existing security solutions alone are difficult to detect because a large number of internal data leakage incidents are caused by planned cooperation among several internal employees. Therefore, in this paper, we propose a method of grouping users with high probability of leakage by using user information of internal users and security solution log. The user information includes the user's personal information and the user's personal information. Also, the security solution log shows the behavior patterns of the users who used the file and who they contacted. In order to analyze whether the proposed method includes users with high probability of leakage, we have experimented according to the virtual scenarios and confirmed that we can find groups including all the spill steps.

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