Article


Article Code : 139308061334352816(DOI : 10.7508/jist.2014.04.005)

Article Title : Trust evaluation in unsupervised network: A fuzzy logic approach

Journal Number : 8 Autumn 2014

Visited : 829

Files : 476 KB


List of Authors

  Full Name Email Grade Degree Corresponding Author
1 Golnar Assadat Afzali g.afzali@gmail.com - M.Sc
2 Monireh Hosseini hosseini@kntu.ac.ir Assistant Professor PhD

Abstract

Because of the possibility of anonymity and impersonation in social networks, trust plays an important role in these networks. Pear to pear networks, by eliminating the supervisor roles, besides its benefit in decreasing management costs, have problems in trust and security of users. In this research, by using social networks as supervised networks, trust level of users is evaluated and by identifying these users in unsupervised networks, appropriate trust level is assigned to them.