为了提高无线Ad—hoc网络数据传输可靠性,在分析了信任模型类型及可能受到的攻击的基础上.结合D.S证据理论提出一种基于节点工作状态的信任模型DCTM(Trust Modelbased on Dempster-Shafer theory and Collaborative Filteringrecom.mendation),在信任模型中,考虑了节点间的直接信任与推荐信任,并通过协同过滤技术计算节点之间的相似度,结合交易密度因子设定了推荐权重,以减少恶意推荐等信任攻击.改进AODV路由算法,设计了可信路由,通过仿真实验验证了该算法能有效避免不信任节点.提供更为可靠的数据传输服务.
In order to improve the reliability of Ad-hoc networks data transmission, in this paper, trust model types and attacks against them were analyzed, then proposed a trust model DCTM ( Trust Model based on Dempster-Shafer theory and Collaborative Filtering recommendation } based on node working state which was combined with D-S evidence theory. In this trust model, direct trust and recommendation trust was considered, using collaborative filtering to calculate the similarity between nodes, combined with exchange density factor and nodes' similarity , recommendation weight was set which can reduce the malicious recommendation trust attack. Meanwhile, based on the AODV, a trusted routing was given. Simulation results show that the new algorithm can resist attacks, and provides more reliable data transmission.