Using Obfuscating Transformations for Supporting the Sharing and Analysis of Conceptual Models

Using Obfuscating Transformations for Supporting the Sharing and Analysis of Conceptual Models

Abstract

Several initiatives have been started that promote the collaborative creation, sharing and analysis of conceptual models. In order to maintain confidentiality and protect intellectual property, sensitive data has to be removed from the models or at least sufficiently abstracted. We derive and analyze four types of obfuscating transformations for conceptual models that have been inspired by existing methods from the area of source code obfuscation and privacy preserving data mining. Finally, a use case from the area of banking is presented to illustrate the concrete application of the transformations.

Grafik Top
Authors
  • Fill, Hans-Georg
Grafik Top
Editors
  • Robra-Bissantz, Susanne
  • Mattfeld, Dirk
Grafik Top
Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
Multikonferenz Wirtschaftsinformatik 2012 - Teilkonferenz Modellierung betrieblicher Informationssysteme
Divisions
Knowledge Engineering
Event Location
Braunschweig
Event Type
Conference
Publisher
GITO Verlag
Date
2012
Export
Grafik Top