Personalized Composition of Trustful Reputation Systems

  • Johannes Sänger
  • Christian Richthammer
  • André Kremser
  • Günther Pernul
Conference paper

DOI: 10.1007/978-3-319-20810-7_13

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9149)
Cite this paper as:
Sänger J., Richthammer C., Kremser A., Pernul G. (2015) Personalized Composition of Trustful Reputation Systems. In: Samarati P. (eds) Data and Applications Security and Privacy XXIX. DBSec 2015. Lecture Notes in Computer Science, vol 9149. Springer, Cham

Abstract

The vast amount of computation techniques for reputation systems proposed in the past has resulted in a need for a global online trust repository with reusable components. In order to increase the practical usability of such a repository, we propose a software framework that supports the user in selecting appropriate components and automatically combines them to a fully functional computation engine. On the one hand, this lets developers experiment with different concepts and move away from one single static computation engine. On the other hand, our software framework also enables an explorative trust evaluation through user interaction. In this way, we notably increase the transparency of reputation systems. To demonstrate the practical applicability of our proposal, we present realistic use cases and describe how it would be employed in these scenarios.

Keywords

Trust management Reputation systems Reusability Component repository 

Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Johannes Sänger
    • 1
  • Christian Richthammer
    • 1
  • André Kremser
    • 1
  • Günther Pernul
    • 1
  1. 1.Department of Information SystemsUniversity of RegensburgRegensburgGermany

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