Skip to main content

The Research on Algorithm of Multi-sensitive Properties Privacy Based on Personal Anonymity

  • Conference paper
Advances in Computer Science, Environment, Ecoinformatics, and Education (CSEE 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 215))

  • 1783 Accesses

Abstract

Paper first analyzes the major technical database of existing privacy and privacy requirements in more sensitive attribute data released under the scenarios studied in the publishing process more sensitive data privacy issues, pointing out that a single individual more than the corresponding records and the corresponding personal data published anonymously in the privacy protection model number of key issues need to be addressed, including information disclosure risk measure, information loss measure and control the dynamic semantic tree, and induction, summed up the release of existing multi-attribute data privacy-sensitive technology characteristics.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Litai, Y., Tang, C., Wu, J., Zhou, M.: Two clustering based on k-anonymity privacy protection. Jilin University (Information Science) (February 2009)

    Google Scholar 

  2. Han, J., Cen, T., Yu, H.: Data table k-anonymous study of the micro-clustering algorithm. Electronics (October 2008)

    Google Scholar 

  3. Li, J.I., Lv, Y., Zhao, W., Liu, G., Li, H.J.: Barrels of K-based anonymity multidimensional table incremental update algorithm. Yanshan University (May 2009)

    Google Scholar 

  4. Qi, R., Wang, K., Guo, X., Li, J., Tang, J., Liu, G.: Priority strategy based on the maximum Ye Zizi tree protection method of multi-sensitive properties. Yanshan University (May 2009)

    Google Scholar 

  5. Teng, J., Zhong, C.: Anonymous method based on data published privacy leaks Control Technologies. Guangxi Academy of Sciences (April 2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Yali, H., Guoxing, P. (2011). The Research on Algorithm of Multi-sensitive Properties Privacy Based on Personal Anonymity. In: Lin, S., Huang, X. (eds) Advances in Computer Science, Environment, Ecoinformatics, and Education. CSEE 2011. Communications in Computer and Information Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23324-1_68

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-23324-1_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23323-4

  • Online ISBN: 978-3-642-23324-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics