Literature DB >> 29085255

Geospatial cryptography: enabling researchers to access private, spatially referenced, human subjects data for cancer control and prevention.

Geoffrey M Jacquez1,2, Aleksander Essex3, Andrew Curtis4, Betsy Kohler5, Recinda Sherman5, Khaled El Emam6, Chen Shi1, Andy Kaufmann2, Linda Beale7, Thomas Cusick8, Daniel Goldberg9,10, Pierre Goovaerts2.   

Abstract

As the volume, accuracy and precision of digital geographic information have increased, concerns regarding individual privacy and confidentiality have come to the forefront. Not only do these challenge a basic tenet underlying the advancement of science by posing substantial obstacles to the sharing of data to validate research results, but they are obstacles to conducting certain research projects in the first place. Geospatial cryptography involves the specification, design, implementation and application of cryptographic techniques to address privacy, confidentiality and security concerns for geographically referenced data. This article defines geospatial cryptography and demonstrates its application in cancer control and surveillance. Four use cases are considered: (1) national-level de-duplication among state or province-based cancer registries; (2) sharing of confidential data across cancer registries to support case aggregation across administrative geographies; (3) secure data linkage; and (4) cancer cluster investigation and surveillance. A secure multi-party system for geospatial cryptography is developed. Solutions under geospatial cryptography are presented and computation time is calculated. As services provided by cancer registries to the research community, de-duplication, case aggregation across administrative geographies and secure data linkage are often time-consuming and in some instances precluded by confidentiality and security concerns. Geospatial cryptography provides secure solutions that hold significant promise for addressing these concerns and for accelerating the pace of research with human subjects data residing in our nation's cancer registries. Pursuit of the research directions posed herein conceivably would lead to a geospatially encrypted geographic information system (GEGIS) designed specifically to promote the sharing and spatial analysis of confidential data. Geospatial cryptography holds substantial promise for accelerating the pace of research with spatially referenced human subjects data.

Entities:  

Keywords:  Geographic information science; Geospatial cryptography; Human subjects research; Privacy; Spatial methods

Year:  2017        PMID: 29085255      PMCID: PMC5659297          DOI: 10.1007/s10109-017-0252-3

Source DB:  PubMed          Journal:  J Geogr Syst        ISSN: 1435-5930


  20 in total

1.  Keeping an eye on privacy issues with geospatial data.

Authors:  Andrew Curtis; Jacqueline W Mills; Michael Leitner
Journal:  Nature       Date:  2006-05-11       Impact factor: 49.962

Review 2.  Geocoding in cancer research: a review.

Authors:  Gerard Rushton; Marc P Armstrong; Josephine Gittler; Barry R Greene; Claire E Pavlik; Michele M West; Dale L Zimmerman
Journal:  Am J Prev Med       Date:  2006-02       Impact factor: 5.043

3.  Confidentiality and spatially explicit data: concerns and challenges.

Authors:  Leah K VanWey; Ronald R Rindfuss; Myron P Gutmann; Barbara Entwisle; Deborah L Balk
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-17       Impact factor: 11.205

4.  Providing Spatial Data for Secondary Analysis: Issues and Current Practices relating to Confidentiality.

Authors:  Myron Gutmann; Kristine Witkowski; Corey Colyer; Joanne McFarland O'Rourke; James McNally
Journal:  Popul Res Policy Rev       Date:  2008

5.  Privacy versus public health: the impact of current confidentiality rules.

Authors:  Daniel Wartenberg; W Douglas Thompson
Journal:  Am J Public Health       Date:  2010-01-14       Impact factor: 9.308

6.  A cryptographic approach to securely share and query genomic sequences.

Authors:  Murat Kantarcioglu; Wei Jiang; Ying Liu; Bradley Malin
Journal:  IEEE Trans Inf Technol Biomed       Date:  2008-09

7.  The detection of disease clustering and a generalized regression approach.

Authors:  N Mantel
Journal:  Cancer Res       Date:  1967-02       Impact factor: 12.701

8.  A Protocol for the secure linking of registries for HPV surveillance.

Authors:  Khaled El Emam; Saeed Samet; Jun Hu; Liam Peyton; Craig Earle; Gayatri C Jayaraman; Tom Wong; Murat Kantarcioglu; Fida Dankar; Aleksander Essex
Journal:  PLoS One       Date:  2012-07-02       Impact factor: 3.240

9.  Spatial confidentiality and GIS: re-engineering mortality locations from published maps about Hurricane Katrina.

Authors:  Andrew J Curtis; Jacqueline W Mills; Michael Leitner
Journal:  Int J Health Geogr       Date:  2006-10-10       Impact factor: 3.918

Review 10.  Musings on privacy issues in health research involving disaggregate geographic data about individuals.

Authors:  Maged N Kamel Boulos; Andrew J Curtis; Philip Abdelmalik
Journal:  Int J Health Geogr       Date:  2009-07-20       Impact factor: 3.918

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  1 in total

1.  Addressing the data guardian and geospatial scientist collaborator dilemma: how to share health records for spatial analysis while maintaining patient confidentiality.

Authors:  Jayakrishnan Ajayakumar; Andrew J Curtis; Jacqueline Curtis
Journal:  Int J Health Geogr       Date:  2019-12-21       Impact factor: 3.918

  1 in total

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