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Ensuring Confidentiality of Geocoded Health Data: Assessing Geographic Masking Strategies for Individual-Level Data.确保地理编码健康数据的保密性:评估个体层面数据的地理掩码策略。
Adv Med. 2014;2014:567049. doi: 10.1155/2014/567049. Epub 2014 Apr 29.
2
Medicine. Spatial turn in health research.医学。健康研究中的空间转向。
Science. 2013 Mar 22;339(6126):1390-2. doi: 10.1126/science.1232257.
3
A Protocol for the secure linking of registries for HPV surveillance.HPV 监测登记系统安全链接协议
PLoS One. 2012;7(7):e39915. doi: 10.1371/journal.pone.0039915. Epub 2012 Jul 2.
4
A secure protocol for protecting the identity of providers when disclosing data for disease surveillance.一种用于在疾病监测中披露数据时保护提供者身份的安全协议。
J Am Med Inform Assoc. 2011 May 1;18(3):212-7. doi: 10.1136/amiajnl-2011-000100.
5
Privacy versus public health: the impact of current confidentiality rules.隐私与公共卫生:现行保密规则的影响。
Am J Public Health. 2010 Mar;100(3):407-12. doi: 10.2105/AJPH.2009.166249. Epub 2010 Jan 14.
6
Musings on privacy issues in health research involving disaggregate geographic data about individuals.关于涉及个体离散地理位置数据的健康研究中隐私问题的思考。
Int J Health Geogr. 2009 Jul 20;8:46. doi: 10.1186/1476-072X-8-46.
7
Breast and prostate cancer survival in Michigan: can geographic analyses assist in understanding racial disparities?密歇根州乳腺癌和前列腺癌患者的生存率:地理分析能否有助于理解种族差异?
Cancer. 2009 May 15;115(10):2212-21. doi: 10.1002/cncr.24251.
8
Providing Spatial Data for Secondary Analysis: Issues and Current Practices relating to Confidentiality.为二次分析提供空间数据:与保密性相关的问题及当前做法。
Popul Res Policy Rev. 2008;27(6):639-665. doi: 10.1007/s11113-008-9095-4.
9
Revealing the spatial distribution of a disease while preserving privacy.在保护隐私的同时揭示疾病的空间分布。
Proc Natl Acad Sci U S A. 2008 Nov 18;105(46):17608-13. doi: 10.1073/pnas.0801021105. Epub 2008 Nov 17.
10
A cryptographic approach to securely share and query genomic sequences.一种用于安全共享和查询基因组序列的加密方法。
IEEE Trans Inf Technol Biomed. 2008 Sep;12(5):606-17. doi: 10.1109/TITB.2007.908465.

地理空间加密技术:使研究人员能够获取用于癌症控制与预防的私密、空间参考的人体受试者数据。

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

作者信息

Jacquez Geoffrey M, Essex Aleksander, Curtis Andrew, Kohler Betsy, Sherman Recinda, Emam Khaled El, Shi Chen, Kaufmann Andy, Beale Linda, Cusick Thomas, Goldberg Daniel, Goovaerts Pierre

机构信息

Department of Geography, State University of New York at Buffalo, Buffalo, NY, USA.

BioMedware, Ann Arbor, MI, USA.

出版信息

J Geogr Syst. 2017 Jul;19(3):197-220. doi: 10.1007/s10109-017-0252-3. Epub 2017 May 11.

DOI:10.1007/s10109-017-0252-3
PMID:29085255
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5659297/
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.

摘要

随着数字地理信息的体量、准确性和精确性不断提高,对个人隐私和保密性的担忧已成为焦点。这些担忧不仅通过对数据共享以验证研究结果构成重大障碍,从而挑战了科学进步的一项基本原则,而且首先就阻碍了某些研究项目的开展。地理空间加密技术涉及密码技术的规范、设计、实施和应用,以解决地理参考数据的隐私、保密和安全问题。本文定义了地理空间加密技术,并展示了其在癌症控制和监测中的应用。考虑了四个用例:(1)基于州或省的癌症登记处之间的国家级重复数据删除;(2)跨癌症登记处共享机密数据,以支持跨行政区域的病例汇总;(3)安全的数据链接;(4)癌症聚集调查和监测。开发了一种用于地理空间加密技术的安全多方系统。提出了地理空间加密技术下的解决方案并计算了计算时间。作为癌症登记处向研究界提供的服务,重复数据删除、跨行政区域的病例汇总和安全的数据链接通常耗时较长,在某些情况下还会因保密和安全问题而无法进行。地理空间加密技术提供了安全的解决方案,有望解决这些问题,并加快对我国癌症登记处中人类受试者数据的研究步伐。追求本文提出的研究方向可能会导致专门设计用于促进机密数据共享和空间分析的地理空间加密地理信息系统(GEGIS)。地理空间加密技术对于加快对具有空间参考的人类受试者数据的研究步伐具有巨大潜力。