TY - GEN
T1 - Geocode matching and privacy preservation
AU - Christen, Peter
PY - 2009
Y1 - 2009
N2 - 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, 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.
AB - 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, 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.
KW - Data matching
KW - Entity resolution
KW - Geocoding
KW - Privacy preservation
KW - Record linkage
KW - Secure multi-party computations
UR - http://www.scopus.com/inward/record.url?scp=67650266675&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-01718-6_2
DO - 10.1007/978-3-642-01718-6_2
M3 - Conference contribution
SN - 9783642017179
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 7
EP - 24
BT - Privacy, Security, and Trust in KDD - Second ACM SIGKDD International Workshop, PinKDD 2008, Revised Selected Papers
T2 - 2nd ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2008
Y2 - 24 August 2008 through 27 August 2008
ER -