Bringing Access Control Tree to Big Data

被引：0
|
作者：
Di Cerbo, Francesco [1 ]
Rosa, Marco [1 ,2 ]
机构：
[1] SAP Secur Res, Sophia Antipolis, France
[2] Univ Bergamo, Bergamo, Italy
来源：
EMERGING TECHNOLOGIES FOR AUTHORIZATION AND AUTHENTICATION, ETAA 2018 | 2018年 / 11263卷
基金：
欧盟地平线“2020”;
关键词：
Access control; Big data; Access control tree;
D O I：
10.1007/978-3-030-04372-8_2
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Big data architectures bring advantages in terms of analytics performances and data storage. However the scarce availability of highly expressive declarative mechanisms for access control limits certain business and technical possibilities. This paper reports on the extension and adaptation of Access Control Tree to support effective decision making processes especially in evaluating multiple data policies for large data sets. An initial evaluation is also presented to evaluate the applicability of the extensions to big data use cases.
引用
收藏
页码：17 / 29
页数：13
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