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Ontological Analysis and Redesign of Security Modeling in ArchiMate

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The Practice of Enterprise Modeling (PoEM 2022)

Abstract

Enterprise Risk Management and security have become a fundamental part of Enterprise Architecture, so several frameworks and modeling languages have been designed to support the activities associated with these areas. ArchiMate’s Risk and Security Overlay is one of such proposals, endorsed by The Open Group. We investigate the capabilities of the proposed security-related constructs in ArchiMate with regard to the necessities of enterprise security modeling. Our analysis relies on a well-founded reference ontology of security to uncover ambiguity, missing modeling elements, and other deficiencies of the security modeling capabilities in ArchiMate. Based on this ontologically-founded analysis, we propose a redesign of security aspects of ArchiMate to overcome its original limitations.

Work Supported By Accenture Israel Cybersecurity Labs

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Notes

  1. 1.

    Files related to ROSE can be found in the following public repository: https://github.com/unibz-core/security-ontology.

  2. 2.

    Actually, we can wonder whether the distinction of several of ArchiMate’s Motivation Elements is (or not) redundant, such as goal, outcome, requirement, and principle, but this issue is outside the scope of our paper.

  3. 3.

    Naturally, employing the theory of prevention in ArchiMate requires adaptation, considering ArchiMate does not distinguish the instance level from the type level.

  4. 4.

    See: https://github.com/unibz-core/security-archimate.

References

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Correspondence to Ítalo Oliveira .

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Oliveira, Í., Sales, T.P., Almeida, J.P.A., Baratella, R., Fumagalli, M., Guizzardi, G. (2022). Ontological Analysis and Redesign of Security Modeling in ArchiMate. In: Barn, B.S., Sandkuhl, K. (eds) The Practice of Enterprise Modeling. PoEM 2022. Lecture Notes in Business Information Processing, vol 456. Springer, Cham. https://doi.org/10.1007/978-3-031-21488-2_6

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  • DOI: https://doi.org/10.1007/978-3-031-21488-2_6

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