Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Privacy enforcement in data analysis workflows

Language

English

Abstract

Collaborative e-Science projects commonly require data analysis to be performed on distributed data sets which may contain sensitive information. In addition to the credential-based privacy protection, ensuring proper handling of computerized data for disclosure and analysis is particularly essential in eScience. In this paper, we propose a semantic approach for enforcing it through workflow systems. We define privacy preservation and analysis-relevant terms as ontologies and incorporate them into a proposed policy framework to represent and enforce the policies. We believe that workflow systems with the proposed privacy-awareness incorporated could ease the scientists in setting up privacy polices that suit for different types of collaborative research projects and can help them in safeguarding the privacy of sensitive data throughout the data analysis lifecycle.

Keywords

Workflow generation, scientific workflows, privacy, trust

Publication Date

11-2007

Source Publication Title

Proceedings of the ISWC'07 Workshop on Privacy Enforcement and Accountability with Semantics (PEAS'07)

Editors

Finin, Tim ; Kagal, Lalana ; Olmedilla, Daniel

Start Page

46

End Page

53

Conference Location

Busan, Korea

Publisher

CEUR-Workshop Proceedings

Copyright

© 2007 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. Re-publication of material from this volume requires permission by the copyright owners.

Funder

This research was supported in part by the Air Force Office of Scientific Research (AFOSR) through grant FA9550-06-1-0031.

Link to Publisher's Edition

http://ceur-ws.org/Vol-320/paper5.pdf

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