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基于分簇模型的移动通信网络安全技术研究

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针对传统运营商WSNs网络管理过程存在的能量分配不均、易受到外部攻击的现象,文章提出了基于分簇网络的网络安全算法.算法由改进分簇模型和信任评估模型组成,分簇模型改进了传统算法初始参数随机性强的缺点,利用自适应AP聚类算法和粒子群优化算法有效的提升了节点能量的管理效率.信任评估模型通过直接信任度、间接信任度以及能量信任度来有效识别恶意节点,保证网络安全运行.在实验测试中,所提算法在性能测试和安全测试中的指标均为最优,表明其能够在有效延长网络寿命的同时确保网络的安全运行.
Research on Mobile Communication Network Security Technology Based on Clustering Model
In response to the phenomenon of uneven energy allocation and susceptibility to exter-nal attacks in the management process of traditional operator WSNs,this paper proposes a net-work security algorithm based on clustering networks.The algorithm consists of an improved clustering model and a trust evaluation model.The clustering model improves the strong ran-domness of the initial parameters in traditional algorithms,and effectively enhances the efficien-cy of node energy management by utilizing adaptive AP clustering algorithm and particle swarm optimization algorithm.The trust evaluation model effectively identifies malicious nodes and ensures the safe operation of the network through direct trust,indirect trust,and energy trust.In the experimental testing,the proposed algorithm achieved the best performance and security metrics,indicating that it can effectively extend the network lifespan while ensuring the secure operation of the network.

Clustering modelAdaptive AP clustering algorithmParticle swarm optimization algorithmNetwork trust levelnetwork security

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中国移动通信集团江苏有限公司,江苏 常州 213000

分簇模型 自适应AP聚类算法 粒子群优化算法 网络信任度 网络安全

2024

长江信息通信
湖北通信服务公司

长江信息通信

影响因子:0.338
ISSN:2096-9759
年,卷(期):2024.37(11)