Advanced Risk Measurement Approach to Insider Threats in Cyberspace. Issue 3 (2nd July 2016)

• Record Type: Journal Article
• Authors: Cho, Inhyun; Lee, Kyungho
• Is Part Of: Intelligent automation & soft computing. Volume 22:Issue 3(2016)
• Page Start: 405
• Page End: 413
• Publication Date: 2016-07-02
• Subjects: Insider threat -- risk measurement -- data leakage -- banking Sector -- cyberspace; Artificial intelligence -- Periodicals; Intelligent control systems -- Periodicals; 003.5
• DOI: 10.1080/10798587.2015.1121617
• Languages: English
• ISSNs: 1079-8587

Abstract

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.