基于多因素的无线传感器网络动态信任评估

Jiaojiao Song, Xiaohong Li, Jing Hu, Guangquan Xu, Zhiyong Feng
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引用次数: 13

摘要

现有的无线传感器网络信任评估方法大多关注路径构建中的通信行为,而没有考虑感知环境中的传输行为。因此,无线传感器网络存在着对网络安全的潜在威胁。本文提出了一种基于直接信任因子和间接信任因子的多因素动态信任评估方法。首先,直接信任因子由通信信任因子和传输信任因子组成,这两个因子都可以通过观察交互过程得到。其次,间接信任因素来自于其他节点的推荐,并将其分为确定和不确定两类。分别计算这两种推荐的信任值。最后,通过直接信任和间接信任的动态结合来衡量节点的可信度。此外,所涉及的分类标准和动态权重分配都依赖于节点之间的交互次数,这是在概率论中的Hoeffding不等式背景下提出的。在NS-2平台上进行的实验表明,该方法能够有效提高网络吞吐量和网络数据包传输率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic Trust Evaluation of Wireless Sensor Networks Based on Multi-factor
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.
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