This study first introduces a previously proposed trust evaluation model for evaluating trust over the lifecycle of VPTs.
This study aims to improve this method and then design an advanced multi-phase trust evaluation model, which comprises calculus-based, contribution-based and affective-based trust evaluation sub-models for evaluating trust during three different VPT phases (early, middle and late project phases).
Secondly a new method for evaluating trust is also proposed.
When a node X evaluates trust on another node Y at time t.
A few models from the research community, notably GridEigenTrust and TESM, evaluate trust using the inside-out approach.
CGTrust evaluates trust at cluster heads (CHs) and at the TA in contrast to GlobalTrust that focuses on the TA.
In this mechanism, a trust reasoning model based on fuzzy Petri net is presented to evaluate trust values of mobile nodes.
The original method, which comprises a method for evaluating trust between two VPT workers and a method for evaluating worker reliability, in which direct, indirect and negative trust relationships are considered in calculating trust between workers.
In this sense, some questions emerge: (1) How do we supply anonymity for users that desire it, while maintaining accountability when legal issues are entitled to investigation? (2) How do we evaluate trust and reputation?
