Towards a Universal Data Provenance Framework Using Dynamic Instrumentation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2012

Towards a Universal Data Provenance Framework Using Dynamic Instrumentation


The advantage of collecting data provenance information has driven research on how to extend or modify applications and systems in order to provide it, or the creation of architectures that are built from the ground up with provenance capabilities. In this paper we propose a universal data provenance framework, using dynamic instrumentation, which gathers data provenance information for real-world applications without any code modifications. Our framework simplifies the task of finding the right points to instrument, which can be cumbersome in large and complex systems. We have built a proof-of-concept implementation of the framework on top of DTrace. Moreover, we evaluated its functionality by using it for three different scenarios: file-system operations, database transactions and web browser HTTP requests. Based on our experiences we believe that it is possible to provide data provenance, transparently, to any layer of the software stack.
Fichier principal
Vignette du fichier
978-3-642-30436-1_9_Chapter.pdf (172.42 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01518256 , version 1 (04-05-2017)





Eleni Gessiou, Vasilis Pappas, Elias Athanasopoulos, Angelos D. Keromytis, Sotiris Ioannidis. Towards a Universal Data Provenance Framework Using Dynamic Instrumentation. 27th Information Security and Privacy Conference (SEC), Jun 2012, Heraklion, Crete, Greece. pp.103-114, ⟨10.1007/978-3-642-30436-1_9⟩. ⟨hal-01518256⟩
104 View
103 Download



Gmail Facebook Twitter LinkedIn More