Abstract
Nowadays, digital systems are connected through complex architectures. These systems involve persons, physical and digital resources such that we can consider that a system consists of elements from two worlds, the social world and the digital world, and their relations. Users perform activities like chatting, buying, sharing data, etc. Evaluating and choosing appropriate systems involve aspects like functionality, performance, QoS, ease of use, or price. Recently, trust appeared as another key factor for such an evaluation. In this context, we raise two issues, (i) how to formalize the entities that compose a system and their relations for a particular activity? and (ii) how to evaluate trust in a system for this activity? This work proposes answers to both questions. On the one hand, we propose SocioPath, a metamodel based on first order logic, that allows to model a system considering entities of the social and digital worlds and their relations. On the other hand, we propose two approaches to evaluate trust in systems, namely, SocioTrust and SubjectiveTrust. The former is based on probability theory to evaluate users’ trust in systems for a given activity. The latter is based on subjective logic to take into account uncertainty in trust values.
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- 1.
- 2.
In general, we consider that a model conforms to a metamodel.
- 3.
By can, we mean that a user may be able to perform an action, and not that she has the permissions to do it. In this work, we do not analyze access control and user permission constraints.
- 4.
If there is no ambiguity, we denote an activity minimal path (i.e., \(\omega \)-minimal path) through the DAG simply by a path \({\sigma }\) and each path does not consider the source and the target nodes, i.e., the person and the data instance and the data.
- 5.
The dependent paths in our graph are the paths that have common nodes (and not common edges) because the trust value is associated to a node, and not to an edge as in a social network.
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- 7.
We recall that the person, the data instance, and the data are not considered in paths of the DAG.
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Alhadad, N., Serrano-Alvarado, P., Busnel, Y., Lamarre, P. (2015). System Modeling and Trust Evaluation of Distributed Systems. In: Hameurlain, A., Küng, J., Wagner, R. (eds) Transactions on Large-Scale Data- and Knowledge-Centered Systems XXII. Lecture Notes in Computer Science(), vol 9430. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48567-5_2
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