Trust network analysis with subjective logic

460 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI (2020, background): “50 These methods all have associated problems that require further research for them to be overcome.”
Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures (2012, methodology): “Subjective logic trust model Subjective logic (Jøsang et al., 2006) is extended from the Dampster–Shafer theory of evidence to be used for modelling”
A Survey on Trust Modeling (2015, background): “Jøsang et al. [2006] suggest modeling the decay of trust when entity i assesses entity j ’s trust at time t as T ( i , j , t ) = λ t − t r T ( i , j , t r ) .”
On the features and challenges of security and privacy in distributed internet of things (2013, background): “For example, Køien [52] points out that subjective logic systems such as TNA-SL [53] can capture dynamic environments where beliefs and uncertainties change over time.”