P2P环境下不信任节点分层免疫模型仿真分析

发布时间：2018-08-03 12:28

【摘要】：本文研究P2P环境下不信任节点准确免疫的方法。由于P2P环境下节点众多,因此对相关节点进行免疫就可以有效的保护网络安全。然而,当前的节点免疫方法都是基于点对点的思想,通过计算单个节点的重要度判断是否免疫该节点。因此,该模型缺少层次性,一旦节点众多,海量的计算会大幅降低算法应用性,而且也容易造成节点遗漏,导致免疫失败。为此,本文提出一种由粗到精分层免疫技术的P2P节点免疫模型。该算法根据粒子群相关理论,计算P2P环境下不信任节点的隔离度因子和密度因子,将其作为节点分层免疫模型的主要参数优化,从而获取最优的P2P环境下不信任节点,并对其进行免疫处理。实验结果表明,利用本文算法进行P2P环境下不信任节点分层免疫处理,可以极大的提高免疫的准确性,从而使P2P环境为用户提供更好的服务。
[Abstract]:In this paper, the method of accurate immunity of trusted nodes in P2P environment is studied. Because there are many nodes in P2P environment, immune to related nodes can effectively protect network security. However, the current node immunization methods are based on the idea of point-to-point, by calculating the importance of a single node to determine whether the node is immune or not. Therefore, the model lacks hierarchy. Once there are many nodes, the application of the algorithm will be greatly reduced by mass computing, and it is easy to cause node omission and lead to immune failure. Therefore, this paper presents a P2P node immune model from coarse to fine layered immune technology. Based on the particle swarm correlation theory, the isolation factor and density factor of the untrusted nodes in P2P environment are calculated and optimized as the main parameters of the hierarchical immune model of the nodes, so as to obtain the optimal untrusted nodes in the P2P environment. And it was immunized. The experimental results show that using this algorithm to deal with the hierarchical immunity of the distrust nodes in P2P environment can greatly improve the accuracy of immunity and make the P2P environment provide better services for users.
【作者单位】：天津大学管理学院;石河子大学信息科学与技术学院;
【基金】：国家自然科学基金项目(31260291)
【分类号】：TP393.02

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