Skip to main content
SpringerLink
Log in

Privacy Metrics

  • Reference work entry
Encyclopedia of Database Systems

Synonyms

Privacy measures

Definition

Measures to determine the susceptibility of data or a dataset to revealing private information. Measures include ability to link private data to an individual, the level of detail or correctness of sensitive information, background information needed to determine private information, etc.

Historical Background

Legal definitions of privacy are generally based on the concept of Individually Identifiable Data. Unfortunately, this concept does not have a clear meaning in the context of many database privacy technologies. The official statistics (census) community has long been concerned with measures for privacy, particularly in the contexts of microdata sets (datasets that represent real data, but obscured in ways to protect privacy) and tabular datasets. Measures have largely been based on the probability that a specific value belongs to a given individual, given the disclosed data. As technologies have been developed to anonymize and analyze private...

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

Access this chapter

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 2,500.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Agrawal D. and Aggarwal C.C. On the design and quantification of privacy preserving data mining algorithms. In Proc. 20th ACM SIGACT-SIGMOD-SIGART Symp. on Principles of Database Systems, 2001, pp. 247–255.

    Google Scholar 

  2. Agrawal R. and Srikant R. Privacy-preserving data mining. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2000, pp. 439–450.

    Google Scholar 

  3. Li N. and Li T. T-closeness: privacy beyond k-anonymity and l-diversity. In Proc. 23rd Int. Conf. on Data Engineering, 2007.

    Google Scholar 

  4. Machanavajjhala A., Gehrke J., Kifer D., and Venkitasubramaniam M. l-diversity: privacy beyond k-anonymity. ACM Trans. Knowl. Discov. Data, 1(1), No.3, March 2007.

    Google Scholar 

  5. Nergiz M., Atzori M., and Clifton C. Hiding the presence of individuals from shared databases. In Proc. ACM SIGMOD Int. Conf. on Management of Data, 2007, pp. 665–676.

    Google Scholar 

  6. Nergiz M.E. and Clifton C. Thoughts on k-anonymization. Data Knowl. Eng., 63(3):622–645, December 2007.

    Google Scholar 

  7. Øhrn A. and Ohno-Machado L. Using boolean reasoning to anonymize databases. Artif. Intell. Med., 15(3):235–254, 1999.

    Google Scholar 

  8. Sweeney L. Achieving k-anonymity privacy protection using generalization and suppression. Int. J. Uncertainty Fuzziness Knowl.-based Syst., 10(5):557–570, 2002.

    Google Scholar 

Download references

Author information

Authors and Affiliations

    Authors
    1. Chris Clifton
      View author publications

      You can also search for this author in PubMed Google Scholar

    Editor information

    Editors and Affiliations

    1. College of Computing, Georgia Institute of Technology, 266 Ferst Drive, 30332-0765, Atlanta, GA, USA

      LING LIU (Professor) (Professor)

    2. Database Research Group David R. Cheriton School of Computer Science, University of Waterloo, 200 University Avenue West, N2L 3G1, Waterloo, ON, Canada

      M. TAMER ÖZSU (Professor and Director, University Research Chair) (Professor and Director, University Research Chair)

    Rights and permissions

    Reprints and permissions

    Copyright information

    © 2009 Springer Science+Business Media, LLC

    About this entry

    Cite this entry

    Clifton, C. (2009). Privacy Metrics. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_272

    Download citation

    Publish with us

    Policies and ethics

    Search

    Navigation