Advanced Risk Measurement Approach to Insider Threats in Cyberspace

Inhyun Cho, Kyungho Lee

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Pages (from-to)405-413
Number of pages9
JournalIntelligent Automation and Soft Computing
Volume22
Issue number3
DOIs
Publication statusPublished - 2016 Jul 2

Keywords

  • Insider threat
  • banking Sector
  • cyberspace
  • data leakage
  • risk measurement

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Artificial Intelligence

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