Identifying provenance of data provides insights to the origin of data and intermediate results, and has recently gained increased interest due to data-centric applications. In this work we extend a data-centric system view with actors handling the data and policies restricting actions. This extension is based on provenance analysis performed on system models. System models have been introduced to model and analyse spatial and organisational aspects of organisations, to identify, e.g., potential insider threats. Both the models and analyses are naturally modular; models can be combined to bigger models, and the analyses adapt accordingly. Our approach extends provenance both with the origin of data, the actors and processes involved in the handling of data, and policies applied while doing so. The model and corresponding analyses are based on a formal model of spatial and organisational aspects, and static analyses of permissible actions in the models. While currently applied to organisational models, our approach can also be extended to work flows, thus targeting a more traditional model of provenance.
|Status||Udgivet - 2014|
|Begivenhed||6th Workshop on the Theory and Practice of Provenance, TaPP 2014 - Cologne, Tyskland|
Varighed: 12 jun. 2014 → 13 jun. 2014
|Konference||6th Workshop on the Theory and Practice of Provenance, TaPP 2014|
|Periode||12/06/2014 → 13/06/2014|
Bibliografisk noteFunding Information:
Part of the research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement no. 318003 (TRESPASS). This publication reflects only the authors’ views and the Union is not liable for any use that may be made of the information contained herein.
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