Skip to main content
SpringerLink
Log in
Book cover

International Conference on Advanced Hybrid Information Processing

ADHIP 2017: Advanced Hybrid Information Processing pp 70–77Cite as

A Quantitative Model for Analysis and Evaluation of Tor Hidden Service Discovery

  • Conference paper
  • First Online:

Abstract

Tor is one of the most popular anonymous communication systems, and its ability of providing receiver anonymity makes hidden services more and more attractive. However, with the exposure of illegal contents such as child pornography and drug trades in hidden services, it becomes urgent to make a comprehensive analysis and evaluation of hidden services in the Tor network. In this paper, based on the frequent updates of hidden service descriptors, we proposed an approach to model Tor hidden service discovery as a generalized coupon collector problem with group drawings. Our experiments based on the real Tor network proved the efficiency and feasibility of the proposed model, which proved the possibility of harvesting most of hidden services with a small amount of resources.

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

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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

Learn about institutional subscriptions

Notes

  1. 1.

    In [8], George Kadianakis et al. computed the fraction of descriptors that a HSDir is responsible for, and their results showed that the fraction value is very small (0.024%), and there is little difference for this value between different HSDirs.

References

  1. Dingledine, R., Mathewson, N., Syverson, P.: Tor: The second-generation onion router. Technical Report, DTIC Document (2004)

    Google Scholar 

  2. http://metrics.torproject.org

  3. https://www.torproject.org/docs/hidden-services.html.en

  4. http://en.wikipedia.org/wiki/SilkRoad(marketplace)

  5. Biryukov, A., Pustogarov, I., Weinmann, R.: Trawling for Tor hidden services: detection, measurement, deanonymization. In: 2013 IEEE Symposium on Security and Privacy (SP), pp. 80–94. IEEE (2013)

    Google Scholar 

  6. Stadje, W.: The collector’s problem with group drawings. Adv. Appl. Probab. 22, 866–882 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  7. https://gitweb.torproject.org/torspec.git/plain/rend-spec.txt

  8. https://research.torproject.org/techreports/extrapolating-hidserv-stats-2015-01-31.pdf

  9. http://en.wikipedia.org/wiki/Bernoulli_trial

  10. https://github.com/DonnchaC/tor/

  11. https://metrics.torproject.org/hidserv-dir-onions-seen.html

Download references

Acknowledgments

This research is funded by National Key Research & Development Plan of China under Grant 2016YFB0801200, 2016YFB0801602 and 2016QY05X1000.

Author information

Authors and Affiliations

  1. National Computer Network Emergency Response Technical Team/Coordination Center, Beijing, China

    Peipeng Liu, Xiao Wang, Xin He, Chenglong Li, Shoufeng Cao, Longtao He & Jiawei Zhu

Authors
  1. Peipeng Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xin He
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Chenglong Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Shoufeng Cao
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Longtao He
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Jiawei Zhu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jiawei Zhu .

Editor information

Editors and Affiliations

  1. Harbin University of Science and Technology, Harbin, China

    Guanglu Sun

  2. Inner Mongolia University, Hohhot, China

    Shuai Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Liu, P. et al. (2018). A Quantitative Model for Analysis and Evaluation of Tor Hidden Service Discovery. In: Sun, G., Liu, S. (eds) Advanced Hybrid Information Processing. ADHIP 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 219. Springer, Cham. https://doi.org/10.1007/978-3-319-73317-3_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-73317-3_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73316-6

  • Online ISBN: 978-3-319-73317-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation