Abstract
Access control is an important means of ensuring information security, and trust-based access control has been considered as an effective mechanism for access control in open networks. To make access control mechanisms more effective, the assessment of trust has become a key issue. Among the different components of trust, recommendation trust plays a key role in environments and applications in which there are not enough direct interactions between entities, making direct trust less reliable. In this paper, we propose a method for the assessment of recommendation trust in which we try to solve the problem of weight assignment to decision attributes by using relevant theories in expert investigation, fuzzy analysis and gray correlation analysis. We also perform some experiment to show that the results of the proposed assessment method are in line with the actual ones to demonstrate the effectiveness of the proposed method as well as its advantages over some other comparable methods.
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Acknowledgements
The work in this paper has been supported by National Natural Science Foundation of China (61501008), National High-Tech R&D Program (863 Program) (2015AA017204), Beijing Natural Science Foundation (4162007) and Shandong Natural Science Foundation (ZR2013FQ024).
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Zhao, B., Xiao, C., Zhang, Y. et al. Assessment of recommendation trust for access control in open networks. Cluster Comput 22 (Suppl 1), 565–571 (2019). https://doi.org/10.1007/s10586-017-1338-x
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DOI: https://doi.org/10.1007/s10586-017-1338-x