Active-Threaded Algorithms for Provenance Cognition in the Cloud Preserving Low Overhead and Fault Tolerance

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Provided by: University of Deusto
Topic: Cloud
Format: PDF
Provenance is the derivation history of information about the origin of data and processes. For a highly dynamic system such as the cloud, provenance must be effectively detected to be used as proves to ensure accountability during digital forensic investigations. This paper proposes active-threaded provenance cognition algorithms that ensure effective and high speed detection of provenance information in the activity layer of the cloud. The algorithms also support encapsulation of the provenance information on specific targets.
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