FLOW-BASED REPUTATION: MORE THAN JUST RANKING

Antonino Simone (), Boris Škorić () and Nicola Zannone ()
Additional contact information
Antonino Simone: Eindhoven University of Technology, Eindhoven, The Netherlands
Boris Škorić: Eindhoven University of Technology, Eindhoven, The Netherlands
Nicola Zannone: Eindhoven University of Technology, Eindhoven, The Netherlands

International Journal of Information Technology & Decision Making (IJITDM), 2012, vol. 11, issue 03, 551-578

Abstract: The last years have seen a growing interest in collaborative systems like electronic marketplaces and P2P file sharing systems where people are intended to interact with other people. Those systems, however, are subject to security and operational risks because of their open and distributed nature. Reputation systems provide a mechanism to reduce such risks by building trust relationships among entities and identifying malicious entities. A popular reputation model is the so-called flow-based model. Most existing reputation systems based on such a model provide only a ranking, without absolute reputation values; this makes it difficult to determine whether entities are actually trustworthy or untrustworthy. In addition, those systems ignore a significant part of the available information; as a consequence, reputation values may not be accurate. In this paper, we present a flow-based reputation metric that gives absolute values instead of merely a ranking. Our metric makes use of all the available information. We study, both analytically and numerically, the properties of the proposed metric and the effect of attacks on reputation values.

Keywords: Decision support; reputation systems; trust; security (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.worldscientific.com/doi/abs/10.1142/S0219622012500113
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wsi:ijitdm:v:11:y:2012:i:03:n:s0219622012500113

Ordering information: This journal article can be ordered from

DOI: 10.1142/S0219622012500113

Access Statistics for this article

International Journal of Information Technology & Decision Making (IJITDM) is currently edited by Yong Shi

More articles in International Journal of Information Technology & Decision Making (IJITDM) from World Scientific Publishing Co. Pte. Ltd.
Bibliographic data for series maintained by Tai Tone Lim ().