Anonymisation of geographical distance matrices via Lipschitz embedding

BACKGROUND: Anonymisation of spatially referenced data has received increasing attention in recent years. Whereas the research focus has been on the anonymisation of point locations, the disclosure risk arising from the publishing of inter-point distances and corresponding anonymisation methods have...

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Detalles Bibliográficos
Autores principales: Kroll, Martin, Schnell, Rainer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704375/
https://www.ncbi.nlm.nih.gov/pubmed/26739310
http://dx.doi.org/10.1186/s12942-015-0031-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4704375/
https://www.ncbi.nlm.nih.gov/pubmed/26739310
http://dx.doi.org/10.1186/s12942-015-0031-7

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