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BNWSN: Bayesian network trust model for wireless sensor networks

机译:BNWSN:用于无线传感器网络的贝叶斯网络信任模型

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In this paper we extend our previously designed trust model in wireless sensor networks to include both; communication trust and data trust. It has been argued that if the overall trust is based on just one trust component, then it might mislead the network, and result in total breakdown of the network. Hence we introduce a new Bayesian network trust model to combine more than one trust component; communication trust and data trust in our case; to produce the overall trust. The model is robust and generic, which allows more trust components to be added to and/or removed from the model very easily.
机译:在本文中,我们将先前设计的信任模型扩展到无线传感器网络中,以将二者都包括在内。通信信任和数据信任。有人认为,如果整体信任仅基于一个信任组件,则可能会误导网络,并导致网络完全崩溃。因此,我们引入了一种新的贝叶斯网络信任模型,以结合多个信任组件。在我们的案例中,通信信任和数据信任;产生整体信任。该模型既健壮又通用,可以轻松地将更多信任组件添加到模型中和/或从模型中删除。

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