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Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory

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  • Henriques de Gusmão, Ana Paula
  • Mendonça Silva, Maisa
  • Poleto, Thiago
  • Camara e Silva, Lúcio
  • Cabral Seixas Costa, Ana Paula

Abstract

Cybersecurity, which is defined as information security aimed at averting cyberattacks, which are among the main issues caused by the extensive use of networks in industrial control systems. This paper proposes a model that integrates fault tree analysis, decision theory and fuzzy theory to (i) ascertain the current causes of cyberattack prevention failures and (ii) determine the vulnerability of a given cybersecurity system. The model was applied to evaluate the cybersecurity risks involved in attacking a website, e-commerce and enterprise resource planning (ERP), and to assess the possible consequences of such attacks; we evaluate these consequences, which include data dissemination, data modification, data loss or destruction and service interruption, in terms of criteria related to financial losses and time for restoration. The results of the model application demonstrate its usefulness and illustrate the increased vulnerability of e-commerce to cybersecurity attacks, relative to websites or ERP, due partly to frequent operator access, credit transactions and users’ authentication problems characteristic of e-commerce.

Suggested Citation

  • Henriques de Gusmão, Ana Paula & Mendonça Silva, Maisa & Poleto, Thiago & Camara e Silva, Lúcio & Cabral Seixas Costa, Ana Paula, 2018. "Cybersecurity risk analysis model using fault tree analysis and fuzzy decision theory," International Journal of Information Management, Elsevier, vol. 43(C), pages 248-260.
    • Handle: RePEc:eee:ininma:v:43:y:2018:i:c:p:248-260
    DOI: 10.1016/j.ijinfomgt.2018.08.008
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    6. Liseth Contreras Hernandez & Hanser S. Jiménez G. & Priscilla P. L. Dantas & Cristiano A. V. Cavalcante, 2022. "Using multi-criteria decision making for selecting picking strategies," Operational Research, Springer, vol. 22(4), pages 3265-3290, September.

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