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Risk analysis for electronic commerce using case‐based reasoning

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  • Changduk Jung
  • Ingoo Han
  • Bomil Suh

Abstract

Electronic commerce (EC) appears to be essential for an organization’s survival and growth. Then the security of the EC systems, which ensures authorized and correct transaction processing, becomes one of the most critical issues in implementing the systems. The analysis of risk that a system faces is the core part of security management since risk analysis can identify the principal assets, the threats and the vulnerabilities of those assets, and the risks confronting the assets. This study intends to develop a risk analysis system in an EC environment using the case‐based reasoning (CBR) technique. The process of the proposed system is composed of four steps: initial data collection, asset evaluation, threat and vulnerability evaluation, and result generation of risk analysis. This process follows the traditional risk analysis process. This system employs the casebase of past analyses and security accidents. Although some studies introduced several case‐based systems for risk analysis of traditional information system, none of them is under an EC environment. The proposed system is the first to apply the CBR technique for risk analysis of an EC system. Copyright © 1999 John Wiley & Sons, Ltd.

Suggested Citation

  • Changduk Jung & Ingoo Han & Bomil Suh, 1999. "Risk analysis for electronic commerce using case‐based reasoning," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 8(1), pages 61-73, March.
    • Handle: RePEc:wly:isacfm:v:8:y:1999:i:1:p:61-73
    DOI: 10.1002/(SICI)1099-1174(199903)8:13.0.CO;2-6
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    References listed on IDEAS

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    1. Carol E. Brown & James R. Coakley & Martha M. Eining, 1994. "The Fourth International Symposium on Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 3(3), pages 223-235, August.
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    Cited by:

    1. Basma Hamrouni & Abdelhabib Bourouis & Ahmed Korichi & Mohsen Brahmi, 2021. "Explainable Ontology-Based Intelligent Decision Support System for Business Model Design and Sustainability," Sustainability, MDPI, vol. 13(17), pages 1-28, September.
    2. Daniel E. O'Leary, 2010. "Intelligent Systems in Accounting, Finance and Management: ISI journal and proceeding citations, and research issues from most‐cited papers," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 17(1), pages 41-58, January.
    3. Daniel E. O'Leary, 2009. "Downloads and citations in Intelligent Systems in Accounting, Finance and Management," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 16(1‐2), pages 21-31, January.

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