Fast cryptographic privacy preserving association rules mining on distributed homogenous database
Author
Source
The International Arab Journal of Information Technology
Issue
Vol. 7, Issue 2 (30 Apr. 2010), pp.152-160, 9 p.
Publisher
Publication Date
2010-04-30
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
Privacy is one of the most important properties of an information system must satisfy, in which systems the need to share information among different, not trusted entities, the protection of sensible information has a relevant role.
A relatively new trend shows that classical access control techniques are not sufficient to guarantee privacy when data mining techniques are used in a malicious way.
Privacy preserving data mining algorithms have been recently introduced with the aim of preventing the discovery of sensible information.
In this paper we propose a modification to privacy preserving association rule mining on distributed homogenous database algorithm.
Our algorithm is faster than old one which modified with preserving privacy and accurate results.
Modified algorithm is based on a semi-honest model with negligible collision probability.
The flexibility to extend to any number of sites without any change in implementation can be achieved.
And also any increase doesn’t add more time to algorithm because all client sites perform the mining in the same time so the overhead in communication time only.
The total bit-communication cost for our algorithm is function in (N) sites.
American Psychological Association (APA)
al-Sisi, Ashraf. 2010. Fast cryptographic privacy preserving association rules mining on distributed homogenous database. The International Arab Journal of Information Technology،Vol. 7, no. 2, pp.152-160.
https://search.emarefa.net/detail/BIM-57762
Modern Language Association (MLA)
al-Sisi, Ashraf. Fast cryptographic privacy preserving association rules mining on distributed homogenous database. The International Arab Journal of Information Technology Vol. 7, no. 2 (Apr. 2010), pp.152-160.
https://search.emarefa.net/detail/BIM-57762
American Medical Association (AMA)
al-Sisi, Ashraf. Fast cryptographic privacy preserving association rules mining on distributed homogenous database. The International Arab Journal of Information Technology. 2010. Vol. 7, no. 2, pp.152-160.
https://search.emarefa.net/detail/BIM-57762
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical referenses : p. 159-160
Record ID
BIM-57762