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Obscuring provenance confidential information via graph transformation

Obscuring provenance confidential information via graph transformation
Obscuring provenance confidential information via graph transformation
Provenance is a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted. PROV is a recent W3C specification for sharing provenance over the Web. However, provenance records may expose confidential information, such as identity of agents or specific attributes of entities or activities. It is therefore essential for confidential information to be obscured before sharing provenance. This paper describes PROV-GTS, a provenance graph transformation system, whose principled definition is based on PROV properties, and which seeks to avoid false independencies and false dependencies. PROV-GTS is shown to preserve graph integrity, to be terminating and to be confluent.
provenance, prov model, privacy, anonymization, graph transformation
978-3-319-18490-6
109-125
Springer
Hussein, Jamal
41a89fd5-49d2-48eb-9fe5-95bb940e2566
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7
Damsgaard Jensen, C.
Marsh, S.
Dimitrakos, T.
Murayama, Y.
Hussein, Jamal
41a89fd5-49d2-48eb-9fe5-95bb940e2566
Moreau, Luc
033c63dd-3fe9-4040-849f-dfccbe0406f8
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7
Damsgaard Jensen, C.
Marsh, S.
Dimitrakos, T.
Murayama, Y.

Hussein, Jamal, Moreau, Luc and Sassone, Vladimiro (2015) Obscuring provenance confidential information via graph transformation. Damsgaard Jensen, C., Marsh, S., Dimitrakos, T. and Murayama, Y. (eds.) In Proceedings of Trust Management IX. vol. 454, Springer. pp. 109-125 . (doi:10.1007/978-3-319-18491-3_8).

Record type: Conference or Workshop Item (Paper)

Abstract

Provenance is a record that describes the people, institutions, entities, and activities involved in producing, influencing, or delivering a piece of data or a thing. In particular, the provenance of information is crucial in deciding whether information is to be trusted. PROV is a recent W3C specification for sharing provenance over the Web. However, provenance records may expose confidential information, such as identity of agents or specific attributes of entities or activities. It is therefore essential for confidential information to be obscured before sharing provenance. This paper describes PROV-GTS, a provenance graph transformation system, whose principled definition is based on PROV properties, and which seeks to avoid false independencies and false dependencies. PROV-GTS is shown to preserve graph integrity, to be terminating and to be confluent.

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Accepted/In Press date: 5 March 2015
e-pub ahead of print date: 30 April 2015
Published date: 14 June 2015
Venue - Dates: 9th IFIP WG 11.11 International Conference, Germany, 2015-05-25 - 2015-05-27
Keywords: provenance, prov model, privacy, anonymization, graph transformation
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 376367
URI: http://eprints.soton.ac.uk/id/eprint/376367
ISBN: 978-3-319-18490-6
PURE UUID: b73ef858-7315-455e-bd87-9a5dc36c483d
ORCID for Luc Moreau: ORCID iD orcid.org/0000-0002-3494-120X

Catalogue record

Date deposited: 27 Apr 2015 10:33
Last modified: 06 Oct 2020 23:31

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Contributors

Author: Jamal Hussein
Author: Luc Moreau ORCID iD
Author: Vladimiro Sassone
Editor: C. Damsgaard Jensen
Editor: S. Marsh
Editor: T. Dimitrakos
Editor: Y. Murayama

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