Data-driven Chinese walls

Akkuzu G., Aziz B.

7th Imperial College Computing Student Workshop, ICCSW 2018, London, United Kingdom, 20 - 21 September 2018, vol.66 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 66
  • Doi Number: 10.4230/oasics.iccsw.2018.3
  • City: London
  • Country: United Kingdom
  • Recep Tayyip Erdoğan University Affiliated: No


© 2019 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH Dagstuhl Publishing. All Rights Reserved.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.