Advances, Systems and Applications
Table 1 Summary of related TMS surveys
Ref | Multi Trust | Traditional methods | Comparison AI models | Taxonomy classes | research issues | Contributions |
|---|---|---|---|---|---|---|
Zheng et al. [14] 2014 | ✗ | ✗ | ✗ | ✗ | ✗ | Analysis of trust characteristics for research direction |
Wang et al. [17] ,2016 | ✓ | ✗ | ✗ | ✗ | ✗ | Concentrated on comparing trust schemes in terms of trust features |
Chen et al. [15] , 2017 | ✓ | ✗ | ✗ | ✓ | ✓ | Discussed stages of TMS |
Din et al. [20] , 2018 | ✓ | ✓ | ✗ | ✓ | ✓ | Evaluation of TMS, including pros and cons |
Behrouz et al. [21] , 2019 | ✗ | ✓ | ✓ | ✓ | ✗ | Analysis of TMS used in the IoT |
Abbas et al. [28] , 2019 | ✓ | ✓ | ✗ | ✓ | ✗ | Classified trust schemes based on IoT functions requirement |
Mohammad et al. [29] ,2022 | ✓ | ✓ | ✓ | ✗ | ✓ | Analysis of the edge computing |
Alyzia et al. [30] , 2022 | ✓ | ✓ | ✗ | ✓ | ✗ | Categorized works based on TMS |
Ebrahimi et al. [23] , 2022 | ✓ | ✓ | ✗ | ✗ | ✗ | Simulations and quantitative comparisons are used to determine the factors |
Our contributions , 2023 | ✓ | ✓ | ✓ | ✓ | ✓ | Focused on new design approach for classification and key metrics for evaluating the accuracy of TMS |