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A cloud‐based solution for trustless indigenous data sovereignty: Protecting Māori biodiversity management data in Aotearoa New Zealand
Transactions in GIS ( IF 2.568 ) Pub Date : 2024-04-03 , DOI: 10.1111/tgis.13153
Pankajeshwara Sharma 1 , Michael Martin 1 , David Swanlund 2 , Cecilia Latham 3 , Dean Anderson 3 , Waitangi Wood 4
Affiliation  

Indigenous peoples should be able to govern data about themselves, their territories, resources, and ways of life, collected by themselves or others. However, the progressive use of cloud computing for the geoweb raises data security and privacy concerns. We propose a complete and trustless approach for indigenous geospatial data sovereignty on the cloud by furnishing security functions at the core—the web browser. Geomasking permits sharing an anonymized dataset with less privileged users, while the original is protected and shared with sovereign data owners via public‐key encryption. The encrypted dataset's hash value is notarized on the blockchain for the verification of its authenticity when on the cloud. The application was designed for the protection of Biodiversity Management Areas stewarded by the Māori people in Aotearoa New Zealand. It enables diversified functions of geospatial data protection compared with previous works focusing on the cloud by solving data‐sharing problems without relying on a third party.

中文翻译:

基于云的解决方案,实现不可信的本土数据主权:保护新西兰毛利人的生物多样性管理数据

土著人民应该能够管理由他们自己或他人收集的有关他们自己、他们的领土、资源和生活方式的数据。然而,云计算在地理网络中的逐步使用引发了数据安全和隐私问题。我们提出了一种完整且无需信任的方法,通过在核心(网络浏览器)提供安全功能,实现云上本地地理空间数据主权。地理屏蔽允许与特权较低的用户共享匿名数据集,而原始数据集则通过公钥加密受到保护并与主权数据所有者共享。加密数据集的哈希值在区块链上进行公证,以验证其在云端的真实性。该应用程序旨在保护由新西兰毛利人管理的生物多样性管理区。与以往专注于云端的工作相比,它通过解决不依赖第三方的数据共享问题,实现了地理空间数据保护的多样化功能。
更新日期:2024-04-03
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