Skip to main navigation Skip to search Skip to main content

2-Compromise: Usability in 1-Dimensional Statistical Databases

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the Fifteenth Australasian Workshop on Combinatorial Algorithms, COCOON 2002
EditorsSeok-Hee Hong
Place of PublicationGermany
PublisherSpringer-Verlag Berlin Heidelberg
Pages448-455
ISBN (Print)354043996X
Publication statusPublished - 31 Dec 2002
EventCOCOON 2002: 8th Annual International Conference - Singapore
Duration: 6 Jul 20029 Jul 2002

Publication series

NameLecture Notes in Computer Science
Number2387

Conference

ConferenceCOCOON 2002: 8th Annual International Conference
CitySingapore
Period6/07/029/07/02

Fingerprint

Dive into the research topics of '2-Compromise: Usability in 1-Dimensional Statistical Databases'. Together they form a unique fingerprint.

Cite this