Trust evaluation in unsupervised network: A fuzzy logic approach
الموضوعات :
Golnar Assadat Afzali
1
(Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran)
Monireh Hosseini
2
(Department of Industrial Engineering, K. N. Toosi University of Technology, Tehran, Iran)
الکلمات المفتاحية: trust, unsupervised networks, trust factors, fuzzy logic, , , , ,
ملخص المقالة :
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.
