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Geocode Matching and Privacy Preservation

Christen, Peter

Description

Geocoding is the process of matching addresses to geographic locations, such as latitudes and longitudes, or local census areas. In many applications, addresses are the key to geo-spatial data analysis and mining. Privacy and confidentiality are of paramount importance when data from, for example, cancer registries or crime databases is geocoded. Various approaches to privacy-preserving data matching, also called record linkage or entity resolution, have been developed in recent times. However,...[Show more]

dc.contributor.authorChristen, Peter
dc.date.accessioned2015-12-10T22:24:12Z
dc.identifier.isbn9783642017179
dc.identifier.urihttp://hdl.handle.net/1885/53151
dc.description.abstractGeocoding is the process of matching addresses to geographic locations, such as latitudes and longitudes, or local census areas. In many applications, addresses are the key to geo-spatial data analysis and mining. Privacy and confidentiality are of paramount importance when data from, for example, cancer registries or crime databases is geocoded. Various approaches to privacy-preserving data matching, also called record linkage or entity resolution, have been developed in recent times. However, most of these approaches have not considered the specific privacy issues involved in geocode matching. This paper provides a brief introduction to privacy-preserving data and geocode matching, and using several real-world scenarios the issues involved in privacy and confidentiality for data and geocode matching are illustrated. The challenges of making privacy-preserving matching practical for real-world applications are highlighted, and potential directions for future research are discussed.
dc.publisherSpringer
dc.relation.ispartofPrivacy, Security, and Trust in KDD (5456)
dc.relation.isversionof1st Edition
dc.subjectKeywords: Data matching; Entity resolution; Geocoding; Privacy preservation; Record linkage; Secure multi-party computations; Mining Data matching; Entity resolution; Geocoding; Privacy preservation; Record linkage; Secure multi-party computations
dc.titleGeocode Matching and Privacy Preservation
dc.typeBook chapter
local.description.notesImported from ARIES
dc.date.issued2009
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationu3594520xPUB266
local.type.statusPublished Version
local.contributor.affiliationChristen, Peter, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage7
local.bibliographicCitation.lastpage24
local.identifier.doi10.1007/978-3-642-01718-6_2
dc.date.updated2016-02-24T10:17:39Z
local.bibliographicCitation.placeofpublicationGermany
local.identifier.scopusID2-s2.0-67650266675
CollectionsANU Research Publications

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