Quantitative Risk Analysis and Evaluation in Information Systems: A Case Study

  • Authors:
  • Young-Gab Kim;Jongin Lim

  • Affiliations:
  • Graduate School of Information Management and Security, Center for Information Security Technologies (CIST), Korea University, 1, 5-ga, Anam-dong, SungBuk-gu, 136-701, Seoul, Korea;Graduate School of Information Management and Security, Center for Information Security Technologies (CIST), Korea University, 1, 5-ga, Anam-dong, SungBuk-gu, 136-701, Seoul, Korea

  • Venue:
  • ICCS '07 Proceedings of the 7th international conference on Computational Science, Part III: ICCS 2007
  • Year:
  • 2007

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Abstract

The rapid growth of the Internet technology has encouraged organizations to protect their information assets. Furthermore, the need for risk analysis has become very important for organizations. However, the existing risk analysis just presents the guidelines that can be used to determine the security measures but do not support how to evaluate the risks quantitatively. Therefore, in this paper, the quantitative risk evaluation model based on the Markov process, especially for the case of interrelated threats, is proposed. In addition, in order to analyze the relationship between threats, the basic analysis method using the covariance and the correlation coefficient is presented.