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P2P reputation management: Probabilistic estimation vs. social networks
 

Summary: P2P reputation management: Probabilistic estimation
vs. social networks
Zoran Despotovic *, Karl Aberer
Ecole Polytechnique Fe´de´rale de Lausanne (EPFL), School of Computer and Communication Sciences,
CH-1015 Lausanne, Switzerland
Available online 15 August 2005
Abstract
Managing trust is a key issue for a wide acceptance of P2P computing, particularly in critical areas such as e-com-
merce. Reputation-based trust management has been identified in the literature as a viable solution to the problem. The
current work in the field can be roughly divided into two groups: social networks that rely on aggregating the entire
available feedback in the network in hope achieving as much robustness against possible misbehavior as possible
and probabilistic models that rely on the well known probabilistic estimation techniques but use only a limited fraction
of the available feedback. In this paper we provide first an overview of these techniques and then a comprehensive com-
parison of the two classes of approaches. We test their performance against various classes of collusive peer behavior
and analyze their properties with respect to the implementation costs they incur and trust semantics they offer to the
decision makers.
Ó 2005 Elsevier B.V. All rights reserved.
Keywords: P2P systems; Trust; Reputation; Social networks; Probabilistic estimation
1. Introduction
The availability of ubiquitous communication

  

Source: Aberer, Karl - Faculté Informatique et Communications, Ecole Polytechnique Fédérale de Lausanne

 

Collections: Computer Technologies and Information Sciences