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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 Model based on Dempster-Shafer theory and Collaborative Filtering recommendation),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 data transmission in wireless Ad-hoc networks, based on the analysis of the types of trust models and possible attacks, this paper proposes a trust model based on Dempster-Shafer (DCTM) based on DS evidence theory, theory and Collaborative Filtering recommendation). In the trust model, the direct trust and recommendation trust between nodes are considered, and the similarity between nodes is calculated through the collaborative filtering technique. The recommendation weight is set with the transaction density factor to reduce the malicious recommendation Such as trust attack.An improved AODV routing algorithm, designed credible routing, the simulation results show that the algorithm can effectively avoid untrusted nodes and provide more reliable data transmission service.