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中文摘要: 现有的无线传感器网络信任模型极少考虑针对信任体系本身的攻击，因此提出了一种防御信任体系攻击的信任评价模型(DTSA)。首先引入模糊综合评判模型计算直接信任，并利用控制因子来降低开关攻击节点的信任值域范围。其次对推荐信任进行过滤与权重分配，降低恶意节点对间接信任评估结果的影响。最后在计算综合信任时，为历史信任设计了自适应权重，抑制了恶意节点信任值的快速上升。仿真结果表明本模型与其他模型相比，开关攻击节点的平均信任值下降了16.4%，坏嘴攻击和串谋攻击所造成的平均误差分别由0.118和0.101降低到了0.051和0.039。因此，本模型能有效地处理信任模型攻击，提升信任评估的准确性。
Abstract:The existing trust model for wireless sensor networks rarely consider attacks against the trust system itself, therefore, a trust evaluation model for defense against trust system attacks (DTSA) is proposed. Firstly, the direct trust is calculated by the fuzzy comprehensive evaluation model, and the control factor is used to reduce the range of the trust value of the On-off attack node. Then filter and weight the recommendation trust to reduce the impact of malicious nodes on indirect trust. When calculating the integrated trust, self-adaptive weight is designed for historical trust, which inhibits the rapid rise of the malicious node$#@%%$s trust value. The simulation results show that the average trust value of the On-off attack node is reduced by 16.4% compared with other models. The average errors caused by bad mouth attack and collusion attack decreased from 0.118 and 0.101 to 0.051 and 0.039, respectively. Therefore，DTSA can effectively deal with the attack of trust model and improve the accuracy of trust evaluation.
文章编号：cg18000500 中图分类号： 文献标志码：
基金项目:无线传感器网络中基于信任机制的安全层次路由协议研究
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