Provenance-based Auditing of Private Data Use

Across the world, organizations are required to comply with regulatory frameworks dictating how to manage personal information. Despite these, several cases of data leaks and exposition of private data to unauthorized recipients have been publicly and widely advertised. For authorities and system administrators to check compliance to regulations, auditing of private data processing becomes crucial in IT systems. Finding the origin of some data, determining how some data is being used, checking that the processing of some data is compatible with the purpose for which the data was captured are typical functionality that an auditing capability should support, but difficult to implement in a reusable manner. Such questions are so-called provenance questions, where provenance is defined as the process that led to some data being produced. The aim of this paper is to articulate how data provenance can be used as the underpinning approach of an auditing capability in IT systems. We present a case study based on requirements of the Data Protection Act and an application that audits the processing of private data, which we apply to an example manipulating private data in a university.

Content

Author and article information

Contributors

Rocío Aldeco-Pérez

Luc Moreau

Conference

Publication date: September 2008

Publication date (Print): September 2008

Pages: 141-152

Affiliations

[0001]School of Electronics and Computer Science, University of Southampton, Southampton SO17 1BJ, UK

Article

DOI: 10.14236/ewic/VOCS2008.13

SO-VID: 0ba3911e-7e90-45ff-aa12-41354a0b9f9b

Copyright statement: © Rocío Aldeco-Pérez et al. Published by BCS Learning and Development Ltd. Visions of Computer Science - BCS International Academic Conference

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Visions of Computer Science - BCS International Academic Conference

Conference acronym: VOCS

Conference number:

Conference location: Imperial College, London, UK

Conference date: 22 - 24 September 2008

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: BCS International Academic Conference

Product

Product Information: 1477-9358BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/VOCS2008.13

Self URI (journal page): https://ewic.bcs.org/

Provenance-based Auditing of Private Data Use

Abstract