Access Control on Big Data and Small Pixels: How to Achieve Privacy and Security

被引：0

作者：

Baumann, Peter ^{[1
]}

Misev, Dimitar ^{[1
]}

机构：

[1] Jacobs Univ, Bremen, Germany

来源：

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019) | 2019年

关键词：

access control; array; coverage; datacube; rasdaman;

D O I：

10.1109/igarss.2019.8900585

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

With high-volume, function-rich Web services on spatio-temporal raster data on the rise there is a growing need for adaptive access control. However, while the data-cube paradigm has proven suitable for large-scale, efficient raster services it is not yet clear how appropriate access control mechanisms can be provided to service administrators. In this contribution we provide a model which extends the SQL datacube query language, SQL/MDA, with flexible definition and enforcement of array-aware access control.

引用

页码：5671 / 5674

页数：4

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