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Developing Trust and Reputation Taxonomy for a Dynamic Network Environment

Authors:
Tanja Ažderska
Borka Jerman Blažič

Keywords: trust; taxonomy; reputation mechanisms; system theory; context

Abstract:
Trust and reputation are the pillars of many social phenomena that shape the Internet socio-economic scene. The few existing taxonomies provide only initial insights into the ways trust benefits can be felt, but they are neither complete nor elaborated in a systemic manner. In this paper, we propose a multidimensional framework for designing and assessing the completeness and consistency of reputation mechanisms. Our framework is based on systemic principles; it identifies reputation system components, the factors that influence the system-design, defines the interrelations between the former and the dependencies on the later. By considering the human-centric, dynamic and context-dependent trust-establishment, we detect five major factors that guide reputation systems’ design. The presented framework is applied to BarterCast, a reputation mechanism that extends the current P2P network protocol – BitTorrent, and is deployed in the BitTorrent-client Tribler.

Pages: 109 to 114

Copyright: Copyright (c) IARIA, 2012

Publication date: February 29, 2012

Published in: conference

ISSN: 2308-4413

ISBN: 978-1-61208-183-0

Location: Saint Gilles, Reunion

Dates: from February 29, 2012 to March 5, 2012