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Bringing Access Control Tree to Big Data

  • Francesco Di Cerbo
  • Marco Rosa
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11263)

Abstract

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.

Keywords

Access control Big data Access control tree 

Notes

Acknowledgements

This work was partly supported by EU-funded H2020 project C3ISP [grant no. 700294].

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.SAP Security ResearchSophia AntipolisFrance
  2. 2.Università degli Studi di BergamoBergamoItaly

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