Skip to main content

Research on Resilience Cloud Environment Capability Evaluation System Under Complex Cyber Threat

  • Conference paper
  • First Online:
Artificial Intelligence and Security (ICAIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13339))

Included in the following conference series:

  • 1034 Accesses

Abstract

Cloud computing technology has brought more complex design and implementation problems. Facing the problems that various threats and failure behaviors have a significant impact on business applications, evaluating the tolerance and response ability of cloud computing system has become a key link to evaluate the overall ability of cloud computing system. Starting from the complex cyber threat environment and special needs, this paper constructs a resilient cloud environment with more flexibility, adaptability and damage resistance, analyzes the failure model of the environment, and designs a set of theoretical evaluation system that can comprehensively characterize the support ability of resilient cloud environment.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

References

  1. Goerger, S.R., Madni, A.M., Eslinger, O.J.: Engineered resilient systems: a dod perspective. Procedia Comput. Sci. 28, 865–872 (2014)

    Article  Google Scholar 

  2. Madni, A.M.S.J.: Towards a conceptual framework for resilience engineering. IEEE Syst. J. 3(2), 181–191 (2009)

    Article  Google Scholar 

  3. Goerger, S.R., Madni, A.M., Eslinger, O.J.: Engineered resilient systems:a dod perspective. Procedia Comput. Sdence 28(4), 855–872 (2014)

    Google Scholar 

  4. Tran, H.T., Balchanos, M., Domercant, J.C., Al, E.: A framework for the quantitative assessment of performance-based system resilience. Reliab. Eng. Syst. Saf. 158, 73–84 (2017)

    Article  Google Scholar 

  5. Bodeau, D., Graubart, R., Apadula, L., Al, E.: Cyber resiliency metrics. Version 1.0, Rev.1. The Mitre Corporation. Bedford (2012)

    Google Scholar 

  6. Musman, S., Agbolosu-Amison, S.: A measurable definition of resiliency using mission risk as a metric. Mitre Technical Report. Mitre Corporation (2014)

    Google Scholar 

  7. Francis, R., Bekera, B.: A metric and frameworks for resilience analysis of engineered and infrastructure systems. Reliab. Eng. Syst. Saf. 121, 90–103 (2014)

    Article  Google Scholar 

  8. Pflanz, M., Levis, A.: An approach to evaluationg resilience in command and control architectures. Procedia Comput. Sci. 8(1), 141–146 (2012)

    Article  Google Scholar 

  9. Ma, P., Ah, L.: On evaluating resilience. C3 Syst. 18, 29–33 (2015)

    Google Scholar 

  10. Balchanos, M.G., Domercant, J.C., Tran, H.T., Al, E.: Metrics-based analysis and evaluation framework for engineering resilient systems. In: Proceeding of the International Symposium on Resilent Control Systems, pp. 1–7 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Gui Liu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, G., Xia, W., Xu, H., Dai, Y., Chen, W. (2022). Research on Resilience Cloud Environment Capability Evaluation System Under Complex Cyber Threat. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13339. Springer, Cham. https://doi.org/10.1007/978-3-031-06788-4_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-06788-4_36

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-06787-7

  • Online ISBN: 978-3-031-06788-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics