Skip to main content

The Complexity of Degree Anonymization by Vertex Addition

  • Conference paper
Algorithmic Aspects in Information and Management (AAIM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8546))

Included in the following conference series:

Abstract

Motivated by applications in privacy-preserving data publishing, we study the problem of making an undirected graph k-anonymous by adding few vertices (together with incident edges). That is, after adding these “dummy vertices”, for every vertex degree d in the resulting graph, there shall be at least k vertices with degree d. We explore three variants of vertex addition (justified by real-world considerations) and study their (parameterized) computational complexity. We derive mostly (worst-case) intractability results, even for very restricted cases (including trees or bounded-degree graphs) but also obtain a few encouraging fixed-parameter tractability results.

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 39.99
Price excludes VAT (USA)
  • Available as 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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bredereck, R., Hartung, S., Nichterlein, A., Woeginger, G.J.: The complexity of finding a large subgraph under anonymity constraints. In: Cai, L., Cheng, S.-W., Lam, T.-W. (eds.) Algorithms and Computation. LNCS, vol. 8283, pp. 152–162. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  2. Casas-Roma, J., Herrera-Joancomartí, J., Torra, V.: An algorithm for k-degree anonymity on large networks. In: Proc. ASONAM 2013, pp. 671–675. ACM Press (2013)

    Google Scholar 

  3. Chester, S., Kapron, B.M., Ramesh, G., Srivastava, G., Thomo, A., Venkatesh, S.: Why Waldo befriended the dummy? k-anonymization of social networks with pseudo-nodes. Social Netw. Analys. Mining 3(3), 381–399 (2013)

    Article  Google Scholar 

  4. Chester, S., Kapron, B.M., Srivastava, G., Venkatesh, S.: Complexity of social network anonymization. Social Netw. Analys. Mining 3(2), 151–166 (2013)

    Article  Google Scholar 

  5. Clarkson, K.L., Liu, K., Terzi, E.: Towards identity anonymization in social networks. In: Link Mining: Models, Algorithms, and Applications, pp. 359–385. Springer (2010)

    Google Scholar 

  6. Downey, R.G., Fellows, M.R.: Fundamentals of Parameterized Complexity. Springer (2013)

    Google Scholar 

  7. Erdős, P., Kelly, P.: The minimal regular graph containing a given graph. Amer. Math. Monthly 70, 1074–1075 (1963)

    Article  MathSciNet  Google Scholar 

  8. Fellows, M.R., Jansen, B.M.P., Rosamond, F.A.: Towards fully multivariate algorithmics: Parameter ecology and the deconstruction of computational complexity. Eur. J. Combin. 34(3), 541–566 (2013)

    Article  MATH  MathSciNet  Google Scholar 

  9. Flum, J., Grohe, M.: Parameterized Complexity Theory. Springer (2006)

    Google Scholar 

  10. Hartung, S., Nichterlein, A., Niedermeier, R., Suchý, O.: A refined complexity analysis of degree anonymization in graphs. In: Fomin, F.V., Freivalds, R., Kwiatkowska, M., Peleg, D. (eds.) ICALP 2013, Part II. LNCS, vol. 7966, pp. 594–606. Springer, Heidelberg (2013); To appear in Information and Computation

    Google Scholar 

  11. Lenstra, H.W.: Integer programming with a fixed number of variables. Math. Oper. Res. 8, 538–548 (1983)

    Article  MATH  MathSciNet  Google Scholar 

  12. Liu, K., Terzi, E.: Towards identity anonymization on graphs. In: ACM SIGMOD Conference, SIGMOD 2008, pp. 93–106. ACM (2008)

    Google Scholar 

  13. Lovász, L., Plummer, M.D.: Matching Theory. Annals of Discrete Mathematics, vol. 29. North-Holland (1986)

    Google Scholar 

  14. Lu, X., Song, Y., Bressan, S.: Fast identity anonymization on graphs. In: Liddle, S.W., Schewe, K.-D., Tjoa, A.M., Zhou, X. (eds.) DEXA 2012, Part I. LNCS, vol. 7446, pp. 281–295. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  15. Lueker, G.S.: Two NP-complete problems in nonnegative integer programming. Technical report. Computer Science Laboratory, Princeton University (1975)

    Google Scholar 

  16. Niedermeier, R.: Invitation to Fixed-Parameter Algorithms. Oxford University Press (2006)

    Google Scholar 

  17. Niedermeier, R.: Reflections on multivariate algorithmics and problem parameterization. In: Proc. 27th STACS. LIPIcs, vol. 5, pp. 17–32. Schloss Dagstuhl–Leibniz-Zentrum für Informatik (2010)

    Google Scholar 

  18. Zhou, B., Pei, J.: The k-anonymity and l-diversity approaches for privacy preservation in social networks against neighborhood attacks. Knowl. Inf. Syst. 28(1), 47–77 (2011)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Bredereck, R., Froese, V., Hartung, S., Nichterlein, A., Niedermeier, R., Talmon, N. (2014). The Complexity of Degree Anonymization by Vertex Addition. In: Gu, Q., Hell, P., Yang, B. (eds) Algorithmic Aspects in Information and Management. AAIM 2014. Lecture Notes in Computer Science, vol 8546. Springer, Cham. https://doi.org/10.1007/978-3-319-07956-1_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-07956-1_5

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-07955-4

  • Online ISBN: 978-3-319-07956-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics