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Dynamic Trust Evaluation of Wireless Sensor Networks Based on Multi-factor

机译:基于多因素的无线传感器网络动态信任评估

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摘要

Most of the existing trust evaluation methods of wireless sensor networks focus on communication behaviors in building paths without considering transmission behaviors in sensing environment. Therefore, a potential threat tothe network security exists in wireless sensor networks. Wepropose a dynamic trust evaluation method based on multi-factor including direct trust factor and indirect trust factor in this paper. Firstly, direct trust factor is composed of communication trust factor and transmission trust factor, both of which can be got from observing the interaction process. Secondly, indirect trust factorcomes from other nodes' recommendations, which are classified into certainand uncertain ones. Such two kinds of recommendation trust values are computed respectively. Finally, nodes' trustworthinessis measured by combining direct trust with indirect trust dynamically. Besides, both the involved classification standard and dynamic weight assignment are dependent on the interaction times between nodes, which are put forward under the background of Hoeffding's Inequality in Probability Theory. Experiments on NS-2 platform show that the proposed method is effective in increasing the network throughput and the network packet delivery ratio.
机译:无线传感器网络的大多数现有信任评估方法都将重点放在建筑路径中的通信行为上,而不考虑传感环境中的传输行为。因此,在无线传感器网络中存在对网络安全的潜在威胁。本文提出了一种基于多因素的动态信任评估方法,包括直接信任因子和间接信任因子。首先,直接信任因子由通信信任因子和传输信任因子组成,两者都可以通过观察交互过程来获得。其次,间接信任因子来自其他节点的推荐,分为确定的和不确定的。分别计算这两种推荐信任值。最后,通过动态组合直接信任和间接信任来衡量节点的信任度。此外,涉及的分类标准和动态权重分配均取决于节点之间的交互时间,这是在霍夫丁概率论不等式的背景下提出的。在NS-2平台上进行的实验表明,该方法可以有效提高网络吞吐量和网络数据包的传输率。

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