Name
Abstract | ||
|---|---|---|
In this paper, we are concerned with trust modeling for agents in networked computing systems. As trust is a subjective notion that is invisible, implicit and uncertain in nature, many attempts have been made to model trust with aid of Bayesian probability theory, while the field lacks a global comprehensive analysis for variants of Bayesian trust models. We present a study to fill in this gap by giving a comprehensive review of the literature. A generic Bayesian trust (GBT) modeling perspective is highlighted here. It is shown that all models under survey can cast into a GBT based computing paradigm as special cases. We discuss both capabilities and limitations of the GBT perspective and point out open questions to answer for advancing it to become a pragmatic infrastructure for analyzing intrinsic relationships between variants of trust models and for developing novel models and algorithms for trust evaluation. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1007/s11277-020-07097-5 | Wireless Personal Communications |
Keywords | Field | DocType |
Bayesian, Networked computing systems, Trust evaluation, Trust modeling | Data science,Computer science,Theoretical computer science,Spite,Computing systems,Bayesian probability | Journal |
Volume | Issue | ISSN |
112 | 2 | 0929-6212 |
Citations | PageRank | References |
0 | 0.34 | 75 |
Authors | ||
1 | ||