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Towards Agent-based Data Privacy Engineering

Authors:
Kato Mivule

Keywords: Data privacy engineering; autonomous agents; statistical disclosure control

Abstract:
While a number of agent-based software engineering frameworks have been proposed in the recent years, a few have been suggested specifically for the data privacy procedure. Yet still, one of the challenges in designing agent-based data privacy frameworks is that the very definition of privacy remains ambiguous and a case-by-case approach would have to be adopted. Therefore, as a contribution, we take a look at the literature on agent-based software engineering and present SIED (Specifications, Implementation, Evaluation, Dissemination), a conceptual framework that takes a holistic approach to the data privacy engineering process by looking at the Specifications, Implementation, Evaluation, and finally, Dissemination of the privatized datasets by autonomous intelligent agents.

Pages: 5 to 12

Copyright: Copyright (c) IARIA, 2014

Publication date: May 25, 2014

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-340-7

Location: Venice, Italy

Dates: from May 25, 2014 to May 29, 2014