Paper Info
Title
IRIS: A Novel Method of Direct Trust Computation for Generating Trusted Social Networks
Abstract
Improving trust in social networks appears as the first step toward addressing the existing confidence and privacy concerns related to online social networks. Direct trust is used to develop different trust-based methods such as transitivity and access control, however how to compute direct trust levels is rarely discussed in the literature. To address some of the current limitations, we introduce a novel approach for generating trusted social networks and we compute trust levels between users having direct relationships. Experimental results with data extracted from FOAF files show that our work presents high accuracy.
Year
DOI
Venue
2012
10.1109/TrustCom.2012.191
TrustCom
Keywords
DocType
Citations 
foaf file,trust level,direct trust computation,generating trusted social networks,improving trust,social network,current limitation,direct trust level,direct relationship,access control,direct trust,different trust-based method,novel method,social networks,internet,trusted computing,iris,motion pictures,iris recognition,semantic web,measurement
Conference
10
PageRank 
References 
Authors
0.56
12
4
Name
Order
Citations
PageRank
Sana Hamdi1315.75
Alda Lopes Gancarski2403.97
Amel Bouzeghoub319733.26
Sadok Ben Yahia4657124.02