The aim of this paper is to apply the trust relationship in a social network to support access control policy development in a NME. Considering that social relations and their trust feature between users in a NME are associated with the roles these users assume, we first classify the social network in a NME into three types. Then, an extended markup language (XML) schema is proposed as the access control mining format to support a unified representation of system logs. Based on the scheme, we discuss the factors affecting the trust intention, analyze the trust relation types, and propose trust intention calculation algorithms.
CITATION STYLE
Liu, T., & Wang, H. (2016). Discovering the social network and trust relationship in a networked manufacturing environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9929 LNCS, pp. 235–244). Springer Verlag. https://doi.org/10.1007/978-3-319-46771-9_31
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