An attack-resistant hybrid data-privatization method with low information loss

Singh, Kalpana and Batten, Lynn 2013, An attack-resistant hybrid data-privatization method with low information loss, in Trust management VII, Springer, Berlin, Germany, pp.263-271.

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Title An attack-resistant hybrid data-privatization method with low information loss
Author(s) Singh, Kalpana
Batten, Lynn
Title of book Trust management VII
Editor(s) Fernandez-Gago, Carmen
Martinelli, Fabio
Pearson, Siani
Augdo, Issac
Publication date 2013
Series IFIP Advances in Information and Communication Technology ; v.401
Chapter number 21
Total chapters 23
Start page 263
End page 271
Total pages 9
Publisher Springer
Place of Publication Berlin, Germany
Keyword(s) data-privatization
information loss
Chebyshev polynomial
spectral filtering
Bayes-estimated data reconstruction
data mining
Summary We examine a recent proposal for data-privatization by testing it against well-known attacks, we show that all of these attacks successfully retrieve a relatively large (and unacceptable) portion of the original data. We then indicate how the data-privatization method examined can be modified to assist it to withstand these attacks and compare the performance of the two approaches. We also show that the new method has better privacy and lower information loss than the former method.
Notes This paper was presented at the 7th IFIP WG 11.11 International Conference, IFIPTM 2013, Malaga, Spain, June 3-7, 2013
ISBN 3642383238
9783642383236
Language eng
Field of Research 080201 Analysis of Algorithms and Complexity
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category B1 Book chapter
Copyright notice ©2013, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30060714

Document type: Book Chapter
Collection: School of Information Technology
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