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.
| Original language | English |
|---|---|
| Title of host publication | 2018 Imperial College Computing Student Workshop (ICCSW 2018) |
| Publisher | Schloss Dagstuhl – Leibniz Center for Informatics |
| Pages | 3:1-3:8 |
| Number of pages | 8 |
| Volume | 66 |
| ISBN (Electronic) | 978-3-95977-097-2 |
| DOIs | |
| Publication status | Published - 20 Sept 2018 |
| Event | 2018 Imperial College Computing Student Workshop - London, United Kingdom Duration: 20 Sept 2018 → 21 Sept 2018 http://iccsw.doc.ic.ac.uk/2018/ |
Publication series
| Name | OpenAccess Series in Informatics |
|---|---|
| Publisher | Schloss Dagstuhl – Leibniz Center for Informatics |
| ISSN (Print) | 2190-6807 |
Workshop
| Workshop | 2018 Imperial College Computing Student Workshop |
|---|---|
| Country/Territory | United Kingdom |
| City | London |
| Period | 20/09/18 → 21/09/18 |
| Internet address |
Keywords
- Data analysis
- Access Control
- Security
- Chinese Walls