Title
Trust assessment: a personalized, distributed, and secure approach
Abstract
Currently several computer-based scenarios leverage the concept of trust as a mean to make electronic interactions (e.g., e-commerce transactions) as reliable as possible, allowing to cope with uncertainty and risks by recommending trusted peers. Generally, the evaluation of trustworthiness can be accomplished according to many principles, from social-based to psychology-based; one of the commonly adopted approaches within peer-to-peer networks, virtual social networks, and recommendation systems is the reputation-based trust evaluation. Because more and more large networks (even with millions of nodes) aim at leveraging trust, approaches to its assessment have to take into account the factors as efficient distributed implementation and effective security protection against malicious attacks. In this paper, we present a distributed and secure algorithm based on TrustWebRank, a metric that takes into account both personalized trust evaluation and network dynamics issues. To test our proposal both in terms of complexity and bandwidth usage, we performed simulations on a large and real dataset built from the Epinions.com recommendation system. Results show that the proposed distributed algorithm is effective and efficient, while preserving original benefits of TrustWebRank. Copyright © 2011 John Wiley & Sons, Ltd.
Year
DOI
Venue
2012
10.1002/cpe.1856
Concurrency and Computation: Practice and Experience
Keywords
DocType
Volume
secure approach,bandwidth usage,trust assessment,computer-based scenario,personalized trust evaluation,recommendation system,John Wiley,e-commerce transaction,secure algorithm,effective security protection,reputation-based trust evaluation,large network
Journal
24
Issue
ISSN
Citations 
6
1532-0626
9
PageRank 
References 
Authors
0.63
18
4
Name
Order
Citations
PageRank
Vincenza Carchiolo126151.62
Alessandro Longheu214229.98
Michele Malgeri321942.79
Giuseppe Mangioni419937.16