Skip to main content

Improvement and Evaluation of a Function for Tracing the Diffusion of Classified Information on KVM

  • Conference paper
  • First Online:
Advances in Networked-Based Information Systems (NBiS 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1264))

Included in the following conference series:

  • 848 Accesses

Abstract

The increasing amount of classified information currently being managed by personal computers has resulted in the leakage of such information to external computers, which is a major problem. To prevent such leakage, we previously proposed a function for tracing the diffusion of classified information in a guest operating system (OS) using a virtual machine monitor (VMM). The tracing function hooks a system call in the guest OS from the VMM, and acquiring the information. By analyzing the information on the VMM side, the tracing function makes it possible to notify the user of the diffusion of classified information. However, this function has a problem in that the administrator of the computer platform cannot grasp the transition of the diffusion of classified processes or file information. In this paper, we present the solution to this problem and report on its evaluation.

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 219.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 279.99
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. Fujii, S., Sato, M., Yamauchi, T., Taniguchi, H.: Evaluation and design of function for tracing diffusion of classified information for file operations with KVM. J. Supercomput. 72(5), 1841–1861 (2016). https://doi.org/10.1007/s11227-016-1671-5

    Article  Google Scholar 

  2. Fujii, S., Sato, M., Yamauchi, T., Taniguchi, H.: Design of function for tracing diffusion of classified information for IPC on KVM. J. Inf. Process. 24(5), 781–792 (2016). https://doi.org/10.2197/ipsjjip.24.781

    Article  Google Scholar 

  3. Moriyama, H., Yamauchi, T., Sato, M., Taniguchi, H.: Performance improvement and evaluation of function for tracing diffusion of classified information on KVM. In: 2017 Fifth International Symposium on Computing and Networking (CANDAR), pp. 463–468, November 2017. https://doi.org/10.1109/CANDAR.2017.91

  4. Hizver, J., Chiueh, T.C.: Real-time deep virtual machine introspection and its applications. In: Proceedings of the 10th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, pp. 3–14 (2014)

    Google Scholar 

  5. Shi, J., Yang, Y., Tang, C.: Hardware assisted hypervisor introspection. SpringerPlus 5(647) (2016)

    Google Scholar 

  6. Zhan, D., Ye, L., Fang, B., et al.: Checking virtual machine kernel control-flow integrity using a page-level dynamic tracing approach. Soft. Comput. 22, 7977–7987 (2018)

    Article  Google Scholar 

  7. Jia, L., Zhu, M., Tu, B.: T-VMI: trusted virtual machine introspection in cloud environments. In: Proceedings of 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), pp. 478–487 (2017)

    Google Scholar 

  8. Enck, W., et al.: TaintDroid: an information-flow tracking system for realtime privacy monitoring on smartphones. ACM Trans. Comput. Syst. 32(2), 1–29 (2014). (Article 5)

    Article  Google Scholar 

  9. Ji, Y., et al.: RAIN: refinable attack investigation with on-demand inter-process information flow tracking. In: Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security (CCS 2017), pp. 377–390 (2017)

    Google Scholar 

Download references

Acknowledgements

This work was partially supported by JSPS KAKENHI Grant Numbers 19H04109 and 19K20246.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hideaki Moriyama .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Moriyama, H., Yamauchi, T., Sato, M., Taniguchi, H. (2021). Improvement and Evaluation of a Function for Tracing the Diffusion of Classified Information on KVM. In: Barolli, L., Li, K., Enokido, T., Takizawa, M. (eds) Advances in Networked-Based Information Systems. NBiS 2020. Advances in Intelligent Systems and Computing, vol 1264. Springer, Cham. https://doi.org/10.1007/978-3-030-57811-4_32

Download citation

Publish with us

Policies and ethics