2-Compromise: Usability in 1-Dimensional Statistical Databases

Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/63405

Title:	2-Compromise: Usability in 1-Dimensional Statistical Databases
Contributor(s):	Brankovic, Ljiljana (author) ; Širáň, Jozef
Publication Date:	2002
Handle Link:	https://hdl.handle.net/1959.11/63405
Abstract:	Many believe that data mining poses the biggest privacy challenge in the next decade. In this paper we concentrate on threats to privacy arising from the possibility of combining aggregate data to deduce the confidential individual values. We determine the maximum number of sum totals that can be disclosed without leading to a 2-compromise in a 1-dimensional database for range queries.
Publication Type:	Conference Publication
Conference Details:	COCOON 2002: 8th Annual International Conference, Singapore, 15th - 17th August, 2002
Grant Details:	ARC/DG-DP0452182
Source of Publication:	Proceedings of the Fifteenth Australasian Workshop on Combinatorial Algorithms, COCOON 2002, p. 448-455
Publisher:	Springer-Verlag Berlin Heidelberg
Place of Publication:	Germany
Fields of Research (FoR) 2020:	460402 Data and information privacy 490404 Combinatorics and discrete mathematics (excl. physical combinatorics)
Socio-Economic Objective (SEO) 2020:	220405 Cybersecurity
Peer Reviewed:	Yes
HERDC Category Description:	E1 Refereed Scholarly Conference Publication
Series Name:	Lecture Notes in Computer Science
Series Number :	2387
Appears in Collections:	Conference Publication School of Science and Technology

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