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Factors affecting the market adoption of cyber-security products in energy and electrical systems: the case of SPEAR

Published: 25 August 2020 Publication History

Abstract

In this paper the results of a survey that was performed aiming to identify the main factors that can affect the market adoption of a cyber-security product in the Energy and Electrical systems is presented. In more detail the survey was implemented using the Fuzzy Analytic Hierarchy Process method among experts of the H2020 R&D project SPEAR. The survey reveals experts' vision regarding the significance of the critical factors anticipated to influence the introduction and acceptance of SPEAR or similar solutions as a technology for actors of the Energy and Electrical ecosystem.

References

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Cited By

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  • (2024)Enhancing Cybersecurity Metrics Evaluation Through the Application of Fuzzy Ahp MethodologyIntelligent Computing Systems and Applications10.1007/978-981-97-5412-0_10(135-147)Online publication date: 20-Sep-2024
  • (2022)Classifying the factors affecting the adoption of the SDN-microSENSE innovationsProceedings of the 17th International Conference on Availability, Reliability and Security10.1145/3538969.3544481(1-6)Online publication date: 23-Aug-2022
  • (2021)It’s Not My Problem: How Healthcare Models Relate to SME Cybersecurity AwarenessHCI for Cybersecurity, Privacy and Trust10.1007/978-3-030-77392-2_22(337-352)Online publication date: 3-Jul-2021

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  1. Factors affecting the market adoption of cyber-security products in energy and electrical systems: the case of SPEAR

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        cover image ACM Other conferences
        ARES '20: Proceedings of the 15th International Conference on Availability, Reliability and Security
        August 2020
        1073 pages
        ISBN:9781450388337
        DOI:10.1145/3407023
        • Program Chairs:
        • Melanie Volkamer,
        • Christian Wressnegger
        This work is licensed under a Creative Commons Attribution-ShareAlike International 4.0 License.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        Published: 25 August 2020

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        Author Tags

        1. cyber-security
        2. decision making
        3. market
        4. smart-grid

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        • Horizon 2020 Framework Programme

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        ARES 2020

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        Overall Acceptance Rate 228 of 451 submissions, 51%

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        View all
        • (2024)Enhancing Cybersecurity Metrics Evaluation Through the Application of Fuzzy Ahp MethodologyIntelligent Computing Systems and Applications10.1007/978-981-97-5412-0_10(135-147)Online publication date: 20-Sep-2024
        • (2022)Classifying the factors affecting the adoption of the SDN-microSENSE innovationsProceedings of the 17th International Conference on Availability, Reliability and Security10.1145/3538969.3544481(1-6)Online publication date: 23-Aug-2022
        • (2021)It’s Not My Problem: How Healthcare Models Relate to SME Cybersecurity AwarenessHCI for Cybersecurity, Privacy and Trust10.1007/978-3-030-77392-2_22(337-352)Online publication date: 3-Jul-2021

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