Provenance threat modeling

Abstract

Abstract-Provenance systems are used to capture history metadata, applications include ownership attribution and determining the quality of a particular data set. Provenance systems are also used for debugging, process improvement, understanding data proof of ownership, certification of validity, etc. The provenance of data includes information about the processes and source data that leads to the current representation. In this paper we study the security risks provenance systems might be exposed to and recommend security solutions to better protect the provenance information.

Scrybe: A Secure Audit Trail for Clinical Trial Data Fusion

“…There are many applications and supporting technologies [75] following this trend. Blockchains have also been used to store provenance metadata [12]. The immutability property provides strong guarantees of data integrity.…”

“…Persons should contact the agency if there are any questions regarding the agency's ability to perform such review and copying of the electronic records. Clinical trial data, and the associated data provenance, is be subject to a large number of external threats [12], but insider threats are also important considerations. A meta-analysis in Science [13] was only able to reproduce 39% of published psychological studies.…”

“…Various tools have arisen to address the provenance challenge [58]. IPython [59] is an interactive Python interface that allows users to mix code, text, and media.…”