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Advanced Risk Measurement Approach to Insider Threats in Cyberspace

Authors
Cho, InhyunLee, Kyungho
Issue Date
2016
Publisher
TAYLOR & FRANCIS INC
Keywords
Insider threat; risk measurement; data leakage; banking Sector; cyberspace
Citation
INTELLIGENT AUTOMATION AND SOFT COMPUTING, v.22, no.3, pp.405 - 413
Indexed
SCIE
SCOPUS
Journal Title
INTELLIGENT AUTOMATION AND SOFT COMPUTING
Volume
22
Number
3
Start Page
405
End Page
413
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/90304
DOI
10.1080/10798587.2015.1121617
ISSN
1079-8587
Abstract
Inside jobs have been a source of critical threats in cyberspace. To manage such insider threats, a proper measurement approach is required for effective risk-based decision-making. The measurement approach should include insider-related information (e.g. the significance of jobs, the position level, the required authority for data, and the type of employment) in order to better measure and analyze insider risks. In this paper, we suggest an approach that takes into account the insider-related information in calculating data leakage risk of insiders in the banking sector. We implement this approach by utilizing real-world data to calculate insider risks. We present an effective risk measurement approach, which we believe can enhance decision-making process for risk management for insider threats.
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