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Data-Driven Chinese Walls

Authors Gulsum Akkuzu, Benjamin Aziz

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Gulsum Akkuzu
  • School of Computing, University of Portsmouth, United Kingdom
Benjamin Aziz
  • School of Computing, University of Portsmouth, United Kingdom

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Gulsum Akkuzu and Benjamin Aziz. Data-Driven Chinese Walls. In 2018 Imperial College Computing Student Workshop (ICCSW 2018). Open Access Series in Informatics (OASIcs), Volume 66, pp. 3:1-3:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)
https://doi.org/10.4230/OASIcs.ICCSW.2018.3

Abstract

Security policy and access control models are often based on qualitative attributes, e.g. security labels, cryptographic credentials. In this paper, we enrich one such model, namely the Chinese Walls model, with quantitative attributes derived from data. Therefore, we advocate a data-driven approach that considers a quantitative definition of access we term, working relations.

Subject Classification

ACM Subject Classification
  • Security and privacy → Access control
Keywords
  • Access Control
  • Big Data
  • Security Policies
  • Chinese Walls Model

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References

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