一种面向物联网节点的动态信任评估模型

Dynamic trust assessment model for internet of things node

针对现有物联网节点信任模型无法有效应对节点通信数据攻击以及难以抵抗恶意节点欺诈的不足,提出了一种面向物联网节点的动态信任评估模型DTAM。在直接信任值的计算中考虑到相邻节点数据传输的一致性,基于奖惩因子与能量因子激励节点的合法行为提高节点的竞争力;在推荐信任值计算中通过测量源节点与推荐节点的差异性评估节点推荐可信度;在综合信任值计算中建立动态权重函数动态分配信任权重;基于历史信任值,提出一种信任更新方法。仿真结果表明:DTAM能够有效地防御数据攻击,具有更好的动态响应能力,对欺诈恶意推荐节点有更好的约束能力。

To address the shortcomings of the existing Internet of things(IoT)node trust model which cannot effectively handle node communication data attacks and is difficult to resist the fraud of malicious node,a dynamic trust evaluation model(DTAM)for IoT nodes is proposed.Firstly,the consistency of data transmission of neighboring nodes is considered in the calculation of direct trust value,and the nodes’legitimate behavior is motivated based on reward and punishment factors and energy factors to improve the competitiveness of nodes.Then,node recommendation reliability is assessed by measuring the difference between the source node and the recommended node in the calculation of recommended trust value,a dynamic weight function is established to dynamically assign trust weights in the calculation of the integrated trust value.Finally,a trust update method is proposed based on the historical trust value.The simulation results show that DTAM can effectively defend against data attacks,and has better dynamic response capability and constraint capability for fraudulent malicious recommendation nodes.