Skip to main content

CSIRA: A Method for Analysing the Risk of Cybersecurity Incidents

  • Conference paper
  • First Online:
Graphical Models for Security (GraMSec 2017)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 10744))

Included in the following conference series:

Abstract

Analysing risk is critical for dealing with cybersecurity incidents. However, there is no explicit method for analysing risk during cybersecurity incidents, since existing methods focus on identifying the risks that a system might face throughout its life. This paper presents a method for analysing the risk of cybersecurity incidents based on an incident risk analysis model, a method for eliciting likelihoods based on the oddness of events and a method for categorising the potential ramifications of cybersecurity incidents.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 44.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 60.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Failure mode, effects and criticality analysis.

  2. 2.

    In ISO terminology, risk description is named risk analysis whereas risk analysis is named risk assessment.

  3. 3.

    More properly, the set of consequence nodes for which there exist an arc (directed edge as a graph) directed to the impact node \(i_j\).

References

  1. Schneier, B.: Attack trees. Dr. Dobb’s J. 24(12), 21–29 (1999)

    Google Scholar 

  2. Singhal, A., Ximming, O.: Security Risk Analysis of Enterprise Networks Using Probabilistic Attack Graphs. National Institute of Standards and Technology, Gaithersburg (2011). https://doi.org/10.6028/nist.ir.7788

    Book  Google Scholar 

  3. Department of Defense: MIL-STD-1629A, Procedures for Performing a Failure Mode, Effect and Criticality Analysis. Department of Defense, Washington DC, USA (1980)

    Google Scholar 

  4. Clemens, P.L., Simmons, R.J.: System Safety and Risk Management: A Guide for Engineering Educators. National Institute for Occupational Safety and Health, Cincinnati (1998)

    Google Scholar 

  5. International Association of Drilling Contractors: Health, Safety and Environment Case Guidelines for Mobile Offshore Drilling Units, Issue 3.6. International Association of Drilling Contractors, Houston, TX, USA (2015)

    Google Scholar 

  6. International Organisation for Standardization: ISO 17776:2000, Petroleum and Natural Gas Industries – Offshore Production Installations – Guidelines on Tools and Techniques for Hazard Identification and Risk Assessment. International Organisation for Standardization, Geneva, Switzerland (2000)

    Google Scholar 

  7. Cox, L.A.: What’s wrong with risk matrices? Risk Anal. 28(2), 497–512 (2008). https://doi.org/10.1111/j.1539-6924.2008.01030.x

    Article  Google Scholar 

  8. Lund, M.S., Solhaug, B., Stølen, K.: Model-Driven Risk Analysis: The CORAS Approach. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-12323-8

    Book  MATH  Google Scholar 

  9. The Open Group: Risk Taxonomy. The Open Group, Reading, UK (2009)

    Google Scholar 

  10. Cherdantseva, Y., Burnap, P., Blyth, A., Eden, P., Jones, K., Soulsby, H., Stoddart, K.: A review of cyber security risk assessment methods for SCADA systems. Comput. Secur. 56, 1–27 (2016). https://doi.org/10.1016/j.cose.2015.09.009

    Article  Google Scholar 

  11. Couce-Vieira, A., Insua, D.R., Houmb, S.H.: GIRA: a general model for incident risk analysis. J. Risk Res. (2017). Advance online publication https://doi.org/10.1080/13669877.2017.1372509

  12. Keeney, R.L., Raiffa, H.: Decisions with Multiple Objectives. Cambridge University Press, Cambridge (1993). https://doi.org/10.1017/CBO9781139174084

    Book  MATH  Google Scholar 

  13. European Food Safety Authority: Guidance on Uncertainty in EFSA Scientific Assessment. European Food Safety Authority, Parma, Italy (2016)

    Google Scholar 

  14. European Food Safety Authority: Guidance on Expert Knowledge Elicitation in Food and Feed Safety Risk Assessment. European Food Safety Authority, Parma, Italy (2014). https://doi.org/10.2903/j.efsa.2014.3734

  15. Renooij, S.: Probability elicitation for belief networks: issues to consider. Knowl. Eng. Rev. 16(3), 255–269 (2001). https://doi.org/10.1017/s0269888901000145

    Article  Google Scholar 

  16. ISACA: COBIT 5: A Business Framework for the Governance and Management of Enterprise IT. ISACA, Rolling Meadows, IL, USA (2012)

    Google Scholar 

  17. Langner, R.: Stuxnet: dissecting a cyberwarfare weapon. IEEE Secur. Priv. 9(3), 49–51 (2011). https://doi.org/10.1109/msp.2011.67

    Article  Google Scholar 

  18. National Institute of Standards and Technology. Framework for Improving Critical Infrastructure Cybersecurity (2014)

    Google Scholar 

  19. Industrial Control Systems Cyber Emergency Response Team. Destructive Malware. National Cybersecurity and Communications Integration Center (US) (2014)

    Google Scholar 

  20. Espinoza, N.: Incommensurability: the failure to compare risks. In: The Ethics of Technological Risk, pp. 128–143. Earthscan, London (UK) (2009)

    Google Scholar 

  21. Reichert, P., Langhans, S.D., Lienert, J., Schuwirth, N.: The conceptual foundation of environmental decision support. J. Environ. Manage. 154, 316–332 (2015). https://doi.org/10.1016/j.jenvman.2015.01.053

    Article  Google Scholar 

  22. Gregory, R., Failing, L., Harstone, M., Long, G., McDaniels, T., Ohlson, D.: Structured Decision Making: A Practical Guide to Environmental Management Choices. Wiley, Hoboken (2012)

    Book  Google Scholar 

Download references

Acknowledgements

The authors are grateful to the support of the MINECO MTM2014-56949-C3-1-R project, the AXA-ICMAT Chair in Adversarial Risk Analysis, the Regional Forskingsfond Vestlandet project 245291 Cybersecurity Incident Response Framework, and the COST IS1304 Action on Expert Judgement.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aitor Couce-Vieira .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Couce-Vieira, A., Houmb, S.H., Ríos-Insua, D. (2018). CSIRA: A Method for Analysing the Risk of Cybersecurity Incidents. In: Liu, P., Mauw, S., Stolen, K. (eds) Graphical Models for Security. GraMSec 2017. Lecture Notes in Computer Science(), vol 10744. Springer, Cham. https://doi.org/10.1007/978-3-319-74860-3_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-74860-3_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-74859-7

  • Online ISBN: 978-3-319-74860-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics