nach oben

Erschienen in:

2016 | OriginalPaper | Buchkapitel

Privacy Preserving Data Mining for Deliberative Consultations

verfasst von : Piotr Andruszkiewicz

Erschienen in: Hybrid Artificial Intelligent Systems

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

In deliberative consultations, which utilise electronic surveys as a tool to obtain information from residents, preserving privacy plays an important role. In this paper investigation of a possibility of privacy preserving data mining techniques application in deliberative consultations has been conducted. Three main privacy preserving techniques; namely, heuristic-based, reconstruction-based, and cryptography-based have been analysed and a setup for online surveys performed within deliberative consultations has been proposed.

This work can be useful for designers and administrators in the assessment of the privacy risks they face with a system for deliberative consultations. It can also be used in the process of privacy preserving incorporation in such a system in order to help minimise privacy risks to users.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel A Context-Aware Keyboard Generator for Smartphone Using Random Forest and Rule-Based System

Nächstes Kapitel Feature Selection Using Approximate Multivariate Markov Blankets

The proof in the case of privacy preserving association rules mining can be found in [16].

Albrecht, S.: E-consultations: a review of current practice and a proposal for opening up the process. In: Tambouris, E., Macintosh, A., Sæbø, Ø. (eds.) ePart 2012. LNCS, vol. 7444, pp. 13–24. Springer, Heidelberg (2012)CrossRef

Li, X., Yan, Z., Zhang, P.: A review on privacy-preserving data mining. In: 14th IEEE International Conference on Computer and Information Technology, CIT 2014, Xi’an, China, 11–13 September 2014, pp. 769–774. IEEE (2014)

Aggarwal, C.C.: Data Mining - The Textbook. Springer, Switzerland (2015)MATH

Huai, M., Huang, L., Yang, W., Li, L., Qi, M.: Privacy-preserving naive bayes classification. In: Zhang, S., Wirsing, M., Zhang, Z. (eds.) KSEM 2015. LNCS, vol. 9403, pp. 627–638. Springer, Heidelberg (2015). doi:10.1007/978-3-319-25159-2_57 CrossRef

Vaidya, J., Yu, H., Jiang, X.: Privacy-preserving svm classification. Knowl. Inf. Syst. 14(2), 161–178 (2008)CrossRef

Keyvanpour, M.R., Moradi, S.S.: A perturbation method based on singular value decomposition and feature selection for privacy preserving data mining. IJDWM 10(1), 55–76 (2014)

Andruszkiewicz, P.: Frequent sets discovery in privacy preserving quantitative association rules mining. In: Onieva, E., Santos, I., Osaba, E., Quintian, H., Corchado, E. (eds.) HAIS 2015. LNCS, vol. 9121, pp. 3–15. Springer, Heidelberg (2015)CrossRef

Andruszkiewicz, P.: Hierarchical combining of classifiers in privacy preserving data mining. In: Polycarpou, M., de Carvalho, A.C.P.L.F., Pan, J.-S., Woźniak, M., Quintian, H., Corchado, E. (eds.) HAIS 2014. LNCS, vol. 8480, pp. 573–584. Springer, Heidelberg (2014)CrossRef

Chen, K., Liu, L.: A survey of multiplicative perturbation for privacy-preserving data mining, [14], pp.157–181

10.

Chen, K., Liu, L.: Privacy preserving data classification with rotation perturbation. In: ICDM, pp. 589–592. IEEE Computer Society (2005)

11.

Liu, K., Giannella, C.M., Kargupta, H.: An attacker’s view of distance preserving maps for privacy preserving data mining. In: Fürnkranz, J., Scheffer, T., Spiliopoulou, M. (eds.) PKDD 2006. LNCS (LNAI), vol. 4213, pp. 297–308. Springer, Heidelberg (2006)CrossRef

12.

Agrawal, R., Srikant, R., Thomas, D.: Privacy preserving olap. In: SIGMOD 2005, Proceedings of the 2005 ACM SIGMOD International Conference on Management of Data, pp. 251–262. ACM, New York (2005)

13.

Saygin, Y., Verykios, V.S., Clifton, C.: Using unknowns to prevent discovery of association rules. SIGMOD Rec. 30(4), 45–54 (2001)CrossRef

14.

Aggarwal, C.C., Yu, P.S. (eds.): Privacy-Preserving Data Mining - Models and Algorithms. Advances in Database Systems, vol. 34. Springer, Heidelberg (2008)

15.

Domingo-ferrer, J., Mateo-sanz, J.M.: On resampling for statistical confidentiality in contingency tables. Comput. Math. Appl. 38, 13–32 (1999)MathSciNetCrossRefMATH

16.

Atallah, M.J., Bertino, E., Elmagarmid, A.K., Ibrahim, M., Verykios, V.S.: Disclosure limitation of sensitive rules. In: Proceedings of the IEEE Knowledge and Data Engineering Workshop, pp. 45–52 (1999)

17.

Weng, C.C., Chen, S.T., Lo, H.C.: A novel algorithm for completely hiding sensitive association rules. In: Pan, J.S., Abraham, A., Chang, C.C. (eds.) ISDA, vol. 3, pp. 202–208. IEEE Computer Society (2008)

18.

Li, X., Liu, Z., Zuo, C.: Hiding association rules based on relative-non-sensitive frequent itemsets. In: Baciu, G., Wang, Y., Yao, Y., Kinsner, W., Chan, K., Zadeh, L.A. (eds.) IEEE ICCI, pp. 384–389. IEEE Computer Society (2009)

19.

Modi, C.N., Rao, U.P., Patel, D.R.: An efficient solution for privacy preserving association rule mining. Int. J. Comput. Netw. Secur. 2(5), 79–85 (2010)

20.

Yao, A.C.C.: How to generate and exchange secrets (extended abstract). In: FOCS, pp. 162–167. IEEE (1986)

21.

Goldreich, O., Micali, S., Wigderson, A.: How to play any mental game or a completeness theorem for protocols with honest majority. In: STOC, pp. 218–229. ACM (1987)

22.

Patsakis, C., Laird, P., Clear, M., Bouroche, M., Solanas, A.: Interoperable privacy-aware e-participation within smart cities. Computer 48(1), 52–58 (2015)CrossRef

23.

Gentry, C.: Fully homomorphic encryption using ideal lattices. In Mitzenmacher, M. (ed.) STOC, pp. 169–178. ACM (2009)

24.

Du, W., Han, Y.S., Chen, S.: Privacy-preserving multivariate statistical analysis: linear regression and classification. In: SDM (2004)

25.

Evfimievski, A., Srikant, R., Agrawal, R., Gehrke, J.: Privacy preserving mining of association rules. In: KDD 2002, Proceedings of the Eighth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Press, pp. 217–228. ACM, New York (2002)

26.

Yang, Z., Zhong, S., Wright, R.N.: Privacy-preserving classification of customer data without loss of accuracy. In: SDM (2005)

Titel: Privacy Preserving Data Mining for Deliberative Consultations
verfasst von: Piotr Andruszkiewicz
Verlag: Springer International Publishing
Buch: Hybrid Artificial Intelligent Systems
Print ISBN: 978-3-319-32033-5

Electronic ISBN: 978-3-319-32034-2

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-32034-2_9

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"