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The ISO/IEC 27001 Information Security Management Standard: How to Extract Value from Data in the IT Sector

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  • Fotis Kitsios

    (Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece)

  • Elpiniki Chatzidimitriou

    (Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece)

  • Maria Kamariotou

    (Department of Applied Informatics, University of Macedonia, 54636 Thessaloniki, Greece)

Abstract

In order to handle their regulatory and legal responsibilities and to retain trustworthy strategic partnerships, enterprises need to be dedicated to guaranteeing the privacy, accessibility, and authenticity of the data at their disposal. Companies can become more resilient in the face of information security threats and cyberattacks by effectively integrating security strategies. The goal of this article is to describe a plan that a corporation has implemented in the information technology industry in order to ensure compliance with International Organization for Standardization (ISO) 27001. This research demonstrates an examination of the reasons that force enterprises to make a investment in ISO 27001 in addition to the incentives that might be acquired from having undergone this process. In addition, the research examines the reasons that push firms to make an investment in ISO 27001. More particularly, the research investigates an international IT consulting services institution that is responsible for the implementation of large-scale business assistance insertion and projects. It demonstrates the risk management framework and the administrative structure of the appropriate situations so that its procedures are adequate and also in line with the guidelines founded by ISO 27001. In conclusion, it discusses the problems and difficulties that were experienced.

Suggested Citation

  • Fotis Kitsios & Elpiniki Chatzidimitriou & Maria Kamariotou, 2023. "The ISO/IEC 27001 Information Security Management Standard: How to Extract Value from Data in the IT Sector," Sustainability, MDPI, vol. 15(7), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:7:p:5828-:d:1108964
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    2. Farid Yessoufou & Salma Sassi & Elie Chicha & Richard Chbeir & Jules Degila, 2024. "User Mobility Modeling in Crowdsourcing Application to Prevent Inference Attacks," Future Internet, MDPI, vol. 16(9), pages 1-29, August.

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