SIMULATING THE HUMAN FACTOR IN REPUTATION MANAGEMENT SYSTEMS FOR P2P NETWORKS - An Agent Based Model

Guido Boella, Marco Remondino, Gianluca Tornese

Abstract

A compelling problem in peer-to-peer (P2P) networks for file sharing, is the spreading of inauthentic files. To counter this, reputation management systems (RMS) have been introduced. These systems dynamically assign to the users a reputation value, considered in the decision to download files from them. RMS are proven, via simulation, to make P2P networks safe from attacks by malicious peers spreading inauthentic files. But, in large networks of millions of users, non-malicious users get a benefit from sharing inauthentic files due to the credit system. In this paper we show, using agent based simulation, that reputation systems are effective only if there is a widespread cooperation by users in verifying authenticity of files during the download phase, while the size punishment derived by the reputation systems is less relevant. This was not evident in previous works since they make several ideal assumptions about the behaviour of peers who have to verify files to discover inauthentic ones. Agent based simulation allows to study the human factor behind the behaviour of peers, in particular the advantage of spreading inauthentic files, of not checking as soon as possible their authenticity during the download, thus unwillingly cooperating to the spreading of files-point.

References

  1. Josang A., Ismail R, and Boyd. C., 2007. A survey of trust and reputation systems for online service provision. Decis. Support Syst., 43(2): pp 618-644.
  2. Kamvar S. D., Schlosser M. T., and Garcia-Molina H., 2003. The eigentrust algorithm for reputation management in p2p networks. In WWW 7803: Proceedings of the 12th international conference on World Wide Web, pp 640-651, USA, ACM Press.
Download


Paper Citation


in Harvard Style

Boella G., Remondino M. and Tornese G. (2009). SIMULATING THE HUMAN FACTOR IN REPUTATION MANAGEMENT SYSTEMS FOR P2P NETWORKS - An Agent Based Model . In Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8111-81-4, pages 5-12. DOI: 10.5220/0001821200050012


in Bibtex Style

@conference{webist09,
author={Guido Boella and Marco Remondino and Gianluca Tornese},
title={SIMULATING THE HUMAN FACTOR IN REPUTATION MANAGEMENT SYSTEMS FOR P2P NETWORKS - An Agent Based Model},
booktitle={Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2009},
pages={5-12},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001821200050012},
isbn={978-989-8111-81-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fifth International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - SIMULATING THE HUMAN FACTOR IN REPUTATION MANAGEMENT SYSTEMS FOR P2P NETWORKS - An Agent Based Model
SN - 978-989-8111-81-4
AU - Boella G.
AU - Remondino M.
AU - Tornese G.
PY - 2009
SP - 5
EP - 12
DO - 10.5220/0001821200050012