Abstract
Trust has been recognized as a vital factor for a component software platform. Inside the platform, trust of a platform entity can be controlled according to its assessment result. Special control modes can be applied in order to ensure a trustworthy system. In this paper, we present an adaptive trust control model in order to support autonomic trust management for the component software platform. This model is based on a Fuzzy Cognitive Map. It includes the quality attributes of the platform entity and a number of control modes supported by the platform in order to ensure the entity’s trustworthiness. The parameters of this model can be adaptively adjusted in order to reflect real system context. The simulation results show that this model is effective for automatically predicting and selecting feasible control modes for a trustworthy platform. It also helps studying cross-influence of applied control modes on a number of quality attributes.
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Yan, Z., Prehofer, C. (2007). An Adaptive Trust Control Model for a Trustworthy Component Software Platform. In: Xiao, B., Yang, L.T., Ma, J., Muller-Schloer, C., Hua, Y. (eds) Autonomic and Trusted Computing. ATC 2007. Lecture Notes in Computer Science, vol 4610. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73547-2_24
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DOI: https://doi.org/10.1007/978-3-540-73547-2_24
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