ONTOLOGY OF GOALS AND OBJECTIVES FOR ORGANIZATIONAL RESILIENCE

F. Korobeynikov

Èlektron. model. 2023, 45(5):67-79

https://doi.org/10.15407/emodel.45.05.067

ABSTRACT

The ontology of high-level resilience constructs in the context of building information protection systems at the organizational level is studied. The principles of interaction between these constructs and the elements of an organization’s structure and its assets, which are integral components of the resilience-building framework, are described in detail. The process of identi­fying an organization’s critical functions and the associated risks as a foundation for constructing its resilience is highlighted. It is posited that in organizational configurations where a single entity encompasses multiple subdivisions or interconnected organizations, the resilience of the entire system cannot simply be viewed as the aggregate resilience of its constituent parts.

KEYWORDS

ontology, resilience, security, organization, risks.

REFERENCES

  1. Mooney, J.D. (1939). The principles of organization: By James D. Mooney and Alan C. Riley. / James David Mooney. New York : Harper & brothers, 223 p.
  2. Woods, D.D., & Hollnagel, E. (2006). Joint Cognitive Systems: Patterns in Cognitive Systems Engineering, Taylor & Francis Group.
    https://doi.org/10.1201/9781420005684
  3. Stephenson, A., Seville, E., Vargo, J. and Roger, D. (2010). Benchmark Resilience: A Study of the Resilience of Organisations in the Auckland Region. In: Resilient Organisations Research Report 2010/03b, Resilient Organisations Research, Auckland. http://hdl.handle.net/10092/4275
  4. NIST (2012). Special Publication 800-30, Revision 1. Guide for Conducting Risk Assessments, https://nvlpubs.nist.gov/nistpubs/Legacy/SP/nistspecialpublication800-30r1.pdf
  5. Deborah J. Bodeau (2011) Cyber Resiliency Engineering Framework, MITRE, 78 p. https://www.mitre.org/news-insights/publication/cyber-resiliency-engineering-framework.
  6. Deborah J. Bodeau (2018). Cyber Resiliency Metrics, Measures of Effectiveness, and Sco­ringost Useful Assessment Methods, MITRE Corporation, p. 97 https://www.mitre.org/sites/default/files/2021-11/prs-18-2579-cyber-resiliency-metrics-measures-of-effectiveness-and-scoring.pdf
  7. NIST (2021). Special Publication 800-160, Volume 2, Revision 1. Developing Cyber-Resilient Systems: A Systems Security Engineering Approach, Official edition., McLean, VA, p. 254 
    https://doi.org/10.6028/NIST.SP.800-160v2r1
  8. NIST (2021). Special Publication 800-160, Volume 1. Engineering Trustworthy Secure Systems, Official edition., p. 113
    https://doi.org/10.6028/NIST.SP.800-160v1r1
  9. Directive on the resilience of critical entities and repealing Council Directive 2008/ 114/EC [Electronic resource]: of 27.12.2022 no. 2022/2557.
  10. Korobeynikov, F. (2023). Resilience paradigm development in the security domain. Electronic Modeling. 2023. V. 45. No 4, 45(4), 89-
    https://doi.org/10.15407/emodel.45.04.088
  11. Honchar, S., Komarov, M., & Onyskova, A. (б. д.). About cyber resilience assessment of critical information infrastructure objects. У Безпека енергетики в епоху цифрової трансформації (с. 32-35). ІНСТИТУТ ПРОБЛЕМ МОДЕЛЮВАННЯ В ЕНЕРГЕТИЦІ. https://ipme.kiev.ua/wp-content/uploads/2021/12/Матеріали-КБЕЕЦ-2021-1.pdf# page=32
  12. Davydiuk, A., & Zubok, V. (2023). Analytical Review of the Resilience of Ukraine’s Critical Energy Infrastructure to Cyber Threats in Times of War. У 2023 15th International Confe­rence on Cyber Conflict: Meeting Reality (CyCon). IEEE. 
    https://doi.org/10.23919/CyCon58705.2023.10181813
  13. Gruber, T.R. (1993). A translation approach to portable ontology specifications. Know­ledge Acquisition, 5(2), 199-
    https://doi.org/10.1006/knac.1993.1008
  14. Uschold, M., & Gruninger, M. (1996). Ontologies: principles, methods and applications. The Knowledge Engineering Review, 11(2), 93- 
    https://doi.org/10.1017/S0269888900007797
  15. Chujai, P., Kerdprasop, N., & Kerdprasop, K. (2014). On Transforming the ER Model to Ontology Using Protégé OWL Tool. International Journal of Computer Theory and Engineering, 6(6), 484- 
    https://doi.org/10.7763/IJCTE.2014.V6.914
  16. Guadalupe, M. (2014) Who Lives in the C-Suite? Organizational Structure and the Division of Labor in Top Management. Management Science, vol. 60, no. 4, 2014, pp. 824- JSTOR, 
    https://doi.org/10.1287/mnsc.2013.1795
  17. Musen MA (2015) Protégé Team. The Protégé Project: A Look Back and a Look Forward. AI Matters. 2015 Jun;1(4):4-12. 
    https://doi.org/10.1145/2757001.2757003
  18. Hendler J. (2011) Semantic Web for the Working Ontologist: Effective Modeling in RDFS and OWL / James Hendler, Dean Allemang., Elsevier Science & Technology Books, 2011. 384 p.
  19. Handbook on Ontologies (2009) ed. by S. Staab, R. Studer., Berlin, Heidelberg : Springer Berlin Heidelberg. 
    https://doi.org/10.1007/978-3-540-92673-3
  20. Sharma, R., & Kanjilal, U. (2023). Developing Energy Access Ontology using Protege Tool. DESIDOC Journal of Library & Information Technology, 43(03), 169- 
    https://doi.org/10.14429/djlit.43.03.18379
  21. MITRE Comprehensive Resilience Frameworks [Electronic resource] // CREF Navigator. https://crefnavigator.mitre.org (date of access: 16.08.2023)
  22. Kaufman, H. (1991) “Chance and Organizational Survival: An Open Question (Part I).” Journal of Public Administration Research and Theory: J-PART, vol. 1, no. 2, 1991, p. 213- JSTOR, http://www.jstor.org/stable/1181734.
  23. Resilience Ontology [Electronic resource] / Fedir Korobeynikov // Stanford University WebProtégé project.: https://webprotege.stanford.edu/#projects/4dd3af05-1816-43e6-9579-f6ef6ab9f71b/sharing.

Full text: PDF