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
收藏
页码：5671 / 5674
页数：4
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