基于节点重要性的端到端信息流控制方法  

An end-to-end information flow control method based on node importance

作　　者：邱紫韵 QIU Ziyun(Minnan University of Science and Technology,Shishi 362700,China)

机构地区：[1]闽南理工学院,福建石狮362700

出　　处：《河南科技学院学报(自然科学版)》2025年第1期58-65,共8页Journal of Henan Institute of Science and Technology(Natural Science Edition)

基　　金：国家重大专项(2109ZG35007);福建省中青年教师教育科研项目(JAT210507)。

摘　　要：目的信息流控制是确保端到端信息安全的重要方法,为此提出一种基于节点重要性的端到端安全信息流控制方法.方法计算端到端信息每一个属性的敏感度,对端到端信息分级,采用遗传算法对各级端到端信息展开降敏感度处理,通过生成对抗网络(GAN)组建端到端信息安全增强模型,利用模型完成信息安全增强.引入信息源定位寻找端到端信息流的源头,通过节点重要性确定对端到端安全信息流起到关键作用的节点,根据对关键节点的控制达到端到端安全信息流流向控制的目的.结果实验结果表明,所提方法的信息流控制性能得到显著提升.结论提升了端到端信息安全性能,优化了运行性能.Objective Information flow control is an important direction to ensure end-to-end information security.A node importance based end-to-end secure information flow control method is proposed.Methods The sensitivity of each attribute of end-to-end information has been calculated,and the end-to-end information has been graded.Genetic algorithm was used to reduce sensitivity of end-to-end information at all levels.An end-to-end information security enhancement model was constructed using Generative Adversarial Networks(GANs).The information security enhancement has been completed using the model.The source of end-to-end information flow is introduced into information source localization,and the nodes that play a key role in end-to-end secure information flow are determined by node importance.The goal of end-to-end secure information flow control has been achieved through the control of key nodes.Results The experimental results show that the information flow control performance of the proposed method has been significantly improved.Conclusion It improves end-to-end information security performance and optimizes operational performance.

关 键 词：节点重要性 端到端信息 信息流控制 生成对抗网络 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]