Ontology type: schema:Chapter Open Access: True
2012
AUTHORSDevayon Das , Dhruba K. Bhattacharyya
ABSTRACTIn this paper, we analyse existing privacy-transformation techniques in the field of PPDP that anonymize datasets with Multiple Sensitive Attributes (MSA). Of these, we present an analysis of Decomposition, an algorithm which generates a dataset with distinct ℓ-diversity over MSA using a partitioning approach. We discuss some improvements which can be made over Decomposition: in the realms of its running time, its data utility, and its applicability in the case of Multiple Release Publishing. To this effect, we describe Decomposition+ an algorithm that implements some of these improvements and is thus more suited for use in real-life scenarios. More... »
PAGES403-412
Advances in Computer Science and Information Technology. Computer Science and Engineering
ISBN
978-3-642-27307-0
978-3-642-27308-7
http://scigraph.springernature.com/pub.10.1007/978-3-642-27308-7_44
DOIhttp://dx.doi.org/10.1007/978-3-642-27308-7_44
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