A cloud‐based solution for trustless indigenous data sovereignty: Protecting Māori biodiversity management data in Aotearoa New Zealand

IF 2.1 3区 地球科学 Q2 GEOGRAPHY Transactions in GIS Pub Date : 2024-04-03 DOI:10.1111/tgis.13153
Pankajeshwara Sharma, Michael Martin, David Swanlund, Cecilia Latham, Dean Anderson, Waitangi Wood
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Abstract

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.
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基于云的无信任土著数据主权解决方案:保护新西兰奥特亚罗瓦毛利人的生物多样性管理数据
土著人民应该能够管理自己或他人收集的有关自己、领地、资源和生活方式的数据。然而,云计算在地理网上的逐步应用引发了数据安全和隐私方面的担忧。我们提出了一种在云上实现本土地理空间数据主权的完整、不可信的方法,在核心部分--网络浏览器--提供安全功能。地理掩码允许与权限较低的用户共享匿名数据集,而原始数据则受到保护,并通过公钥加密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,以便在云端验证其真实性。该应用程序旨在保护新西兰奥特亚罗瓦毛利人管理的生物多样性管理区。与以前侧重于云的工作相比,它通过解决数据共享问题而不依赖第三方,实现了地理空间数据保护的多样化功能。
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来源期刊
Transactions in GIS
Transactions in GIS GEOGRAPHY-
CiteScore
4.60
自引率
8.30%
发文量
116
期刊介绍: Transactions in GIS is an international journal which provides a forum for high quality, original research articles, review articles, short notes and book reviews that focus on: - practical and theoretical issues influencing the development of GIS - the collection, analysis, modelling, interpretation and display of spatial data within GIS - the connections between GIS and related technologies - new GIS applications which help to solve problems affecting the natural or built environments, or business
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