Discovering the social network and trust relationship in a networked manufacturing environment

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Abstract

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.

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APA

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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