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A novel Trust-Based Cross-Layer Model for Wireless Sensor Networks

机译:一种新颖的基于信任的无线传感器网络跨层模型

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Wireless Sensor Networks (WSNs) are vulnerable to attacks (selfish or malicious i.e. misbehaving nodes) due to the nature of the wireless media, restricted resource and the natural co-operations of sensors. Therefore, the security issue is very critical in WSN. The decision making in a WSN is essential for carrying out certain tasks as it aids sensors establish collaborations. In order to assist this process, trust management models could play a relevant role. Up to our knowledge, there is no one used the cross-layer concept in computing and updating the trust values. So, this paper presents new model for trust in WSN, called A Trust-Based Cross-Layer Model, which use cross-layer concept (ACKs from data link layer and TCP layer) to design trust'based model for sensor networks that guarantee the trust route from source to sink and isolate the malicious node. The simulation results and analysis show that our model is scalable and its display high performance even if the percent of malicious nodes is high.
机译:由于无线媒体的性质,有限的资源以及传感器的自然合作,无线传感器网络(WSN)容易受到攻击(自私或恶意,即行为不当的节点)。因此,安全问题在WSN中非常关键。 WSN中的决策对于执行某些任务至关重要,因为它有助于传感器建立协作。为了协助此过程,信任管理模型可以发挥相关作用。据我们所知,没有人在计算和更新信任值时使用跨层概念。因此,本文提出了一种新的WSN信任模型,称为基于信任的跨层模型,该模型使用跨层概念(来自数据链路层和TCP层的ACK)来设计用于传感器网络的基于信任的模型,从而确保传感器网络的安全性。信任从源到宿的路由,并隔离恶意节点。仿真结果和分析表明,即使恶意节点的百分比很高,我们的模型仍具有可扩展性,并显示出高性能。

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