基于动态线性相关的访问控制模型研究

Dynamic Linear Relevance Based Access Control Model

访问控制是网络资源共享领域的重要研究内容。为了提高访问控制中对未知节点的预测能力,提出了一种基于动态线性相关的访问控制模型。首先,提出了一种包含服务请求者、服务推荐节点和服务提供者的访问控制结构。其次,提出了一种动态的信任值线性计算方法,该方法将节点的全局信任值表示为直接信任值和推荐信任值的线性组合,并根据节点间的历史记录动态地调整直接信任值和推荐信任值的权重。最后通过仿真实验表明,提出的访问控制模型与其他相关的访问控制模型相比,不仅具有更高的预测成功率,而且能更好地抵御节点的恶意攻击。

The research of access control is an important issue in resource sharing based on networks. In order to im- prove the prediction ability of access control for unknown nodes, this paper proposed a dynamic linear relevance based access control model. Firstly,we proposed an architecture of access control containing service requestor, service recom- mendation node and service provider. Then, we proposed a dynamic trust score linear computing approach. The proposed approach represents the global trust score of node with the linear combination of direct trust score and recommendation trust score,and adjusts the weights of direct trust score and recommendation trust score with history records between nodes. Finally, the simulation experiments show that, compared with related access control models, the proposed model has higher prediction success rate,and can resist malicious attacks more efficiently.