Recent research on privacy preserving data mining

Alex Gurevich; Ehud Gudes

doi:10.1007/11961635_32

Recent research on privacy preserving data mining

Alex Gurevich
, Ehud Gudes

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

We review our recent work on privacy preserving data mining and present a new algorithm for association rules mining in vertically partitioned databases that doesnt use perturbation or secure computation.

Original language	English
Title of host publication	Information Systems Security - 2nd International Conference, ICISS 2006, Proceedings
Editors	Aditya Bagchi, Vijayalakshmi Atluri
Publisher	Springer Verlag
Pages	377-380
Number of pages	4
ISBN (Print)	9783540689621
DOIs	https://doi.org/10.1007/11961635_32
State	Published - 1 Jan 2006
Event	2nd International Conference on Information Systems Security, ICISS 2006 - Kolkata, India Duration: 19 Dec 2006 → 21 Dec 2006

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4332 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd International Conference on Information Systems Security, ICISS 2006
Country/Territory	India
City	Kolkata
Period	19/12/06 → 21/12/06

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/11961635_32

Cite this

Gurevich, A., & Gudes, E. (2006). Recent research on privacy preserving data mining. In A. Bagchi, & V. Atluri (Eds.), Information Systems Security - 2nd International Conference, ICISS 2006, Proceedings (pp. 377-380). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4332 LNCS). Springer Verlag. https://doi.org/10.1007/11961635_32

Gurevich, Alex ; Gudes, Ehud. / Recent research on privacy preserving data mining. Information Systems Security - 2nd International Conference, ICISS 2006, Proceedings. editor / Aditya Bagchi ; Vijayalakshmi Atluri. Springer Verlag, 2006. pp. 377-380 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Recent research on privacy preserving data mining",

abstract = "We review our recent work on privacy preserving data mining and present a new algorithm for association rules mining in vertically partitioned databases that doesnt use perturbation or secure computation.",

author = "Alex Gurevich and Ehud Gudes",

note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.; 2nd International Conference on Information Systems Security, ICISS 2006 ; Conference date: 19-12-2006 Through 21-12-2006",

year = "2006",

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doi = "10.1007/11961635\_32",

language = "English",

isbn = "9783540689621",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "Information Systems Security - 2nd International Conference, ICISS 2006, Proceedings",

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Gurevich, A & Gudes, E 2006, Recent research on privacy preserving data mining. in A Bagchi & V Atluri (eds), Information Systems Security - 2nd International Conference, ICISS 2006, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4332 LNCS, Springer Verlag, pp. 377-380, 2nd International Conference on Information Systems Security, ICISS 2006, Kolkata, India, 19/12/06. https://doi.org/10.1007/11961635_32

Recent research on privacy preserving data mining. / Gurevich, Alex; Gudes, Ehud.
Information Systems Security - 2nd International Conference, ICISS 2006, Proceedings. ed. / Aditya Bagchi; Vijayalakshmi Atluri. Springer Verlag, 2006. p. 377-380 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4332 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - We review our recent work on privacy preserving data mining and present a new algorithm for association rules mining in vertically partitioned databases that doesnt use perturbation or secure computation.

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Gurevich A, Gudes E. Recent research on privacy preserving data mining. In Bagchi A, Atluri V, editors, Information Systems Security - 2nd International Conference, ICISS 2006, Proceedings. Springer Verlag. 2006. p. 377-380. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/11961635_32

Recent research on privacy preserving data mining

Abstract

Publication series

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ASJC Scopus subject areas

Access to Document

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