Reconstructing Provenance

Magliacane, Sara

doi:10.1007/978-3-642-35173-0_29

Cited by 23 publications

(9 citation statements)

References 23 publications

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“…Finally, provenance might be missing or non-existent, especially for documents predating the PROV standard. Therefore, it is important that methods are implemented for reconstruction of provenance based on the content [11], [12].…”

Section: Discussionmentioning

confidence: 99%

Easy Access to Provenance: An Essential Step Towards Trust on the Web

Nies

Coppens

Verborgh

et al. 2013

2013 IEEE 37th Annual Computer Software and Applications Conference Workshops

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This paper describes the mechanisms involved in accessing provenance on the Web, according to the new W3C PROV specifications, and how end-users can process this information to make basic trust assessments. Additionally, we illustrate this principle by implementing a practical use case, namely Tim Bernerslee's vision of the "Oh, yeah?" button, enabling users to make trust assessments about documents on the web. This implementation leverages the W3C PROV specification to provide user-friendly access to the provenance of Web pages. While the extension described in this paper is specific to one browser, the majority of its components are browser-agnostic.

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Section: Discussionmentioning

confidence: 99%

Easy Access to Provenance: An Essential Step Towards Trust on the Web

Nies

Coppens

Verborgh

et al. 2013

2013 IEEE 37th Annual Computer Software and Applications Conference Workshops

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“…With the arrival of the provenance ontology various tools have emerged that are designed to preserve the provenance of data in software systems. Provenance management tools such as 'ProvToolBox' [14] creates Java representations of the prov data model and enables manipulation of it from the Java programming language. ProvenanceJS [15] is a Javascript tool that can embed and extract provenance from HTML pages.…”

Section: Related Workmentioning

confidence: 99%

Enabling privacy through transparency

Seneviratne¹,

Kagal²

2014

2014 Twelfth Annual International Conference on Privacy, Security and Trust

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Many access control systems, particularly those utilized in hospital environments, exercise optimistic security, because preventing access to information may have undesirable consequences. However, in the wrong hands, these over-broad permissions may result in privacy violations. To circumvent this issue, we have developed Privacy Enabling Transparent Systems (PETS) that makes transparency a key component in systems architectures. PETS is built on open web standards and introduces the Provenance Tracking Network (PTN), an open global trusted network of peer servers, to the traditional web stack.Websites that conform to the architecture communicate information about transactions for any sensitive data items with the PTN. These usage logs are stored in a decentralized manner and can later be queried to check compliance with individual usage restrictions that assert no unauthorized data transfer or usage has taken place. PETS enables data consumers to be transparent with regard to data usages and determine if there has been privacy violations after the fact. We conducted a user study on a healthcare data application built using PETS to see if transparency on access and usage data satisfies expectations of user privacy.

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“…Finally, newer work [21,28] does not use a-priori instrumentation but attempts to reconstruct provenance directly from data. Without primary access to the actual provenance, this approach will always suffer from lower fidelity.…”

Section: Capturing Provenancementioning

confidence: 99%

Looking Inside the Black-Box: Capturing Data Provenance Using Dynamic Instrumentation

Stamatogiannakis¹,

Groth²,

Bos³

2015

Lecture Notes in Computer Science

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Abstract. Knowing the provenance of a data item helps in ascertaining its trustworthiness. Various approaches have been proposed to track or infer data provenance. However, these approaches either treat an executing program as a black-box, limiting the fidelity of the captured provenance, or require developers to modify the program to make it provenance-aware. In this paper, we introduce DataTracker, a new approach to capturing data provenance based on taint tracking, a technique widely used in the security and reverse engineering fields. Our system is able to identify data provenance relations through dynamic instrumentation of unmodified binaries, without requiring access to, or knowledge of, their source code. Hence, we can track provenance for a variety of well-known applications. Because DataTracker looks inside the executing program, it captures high-fidelity and accurate data provenance.

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Reconstructing Provenance

Cited by 23 publications

References 23 publications

Easy Access to Provenance: An Essential Step Towards Trust on the Web

Easy Access to Provenance: An Essential Step Towards Trust on the Web

Enabling privacy through transparency

Looking Inside the Black-Box: Capturing Data Provenance Using Dynamic Instrumentation

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