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基于RSA算法的异构网络多维数据安全风险监测技术

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异构网络中存在各种不同类型的网络设备、协议和平台,使得网络的结构和数据特征具有极高的复杂性.为了及时发现和应对潜在的安全风险,研究一种基于RSA算法的异构网络多维数据安全风险监测技术.利用RSA算法完成加密处理.利用神经网络实现RSA加密数据安全风险类型识别.构建安全态势指标体系,并计算指标权重,实现数据安全风险监测.结果表明:所提方法的决定系数在0.9以上,更接近1,说明该方法对RSA加密数据的安全风险程度的监测准确性更高.
Multidimensional data security risk monitoring technology for heterogeneous networks based on RSA algorithm
There are various types of network devices,protocols,and platforms in heterogeneous networks,which make the structure and data characteristics of the network extremely complex.In order to timely detect and respond to potential security risks,a heterogeneous network multidimensional data security risk monitoring technology based on RSA algorithm is studied.Use RSA algorithm to complete encryption processing.Using neural networks to identify security risk types for RSA encrypted data.Build a security situation indicator system and calculate indicator weights to achieve data security risk monitoring.The results show that the determination coefficient of the proposed method is above 0.9,which is closer to 1,indicating that the method has higher accuracy in monitoring the security risk level of RSA encrypted data.

RSA algorithmheterogeneous networkmultidimensional data securityrisk categoriesrisk levelmonitoring technology

尉译心、刘三满、张槟淇

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山西警察学院网络安全保卫系,太原 030401

RSA算法 异构网络 多维数据安全 风险类别 风险程度 监测技术

2024

现代计算机
中大控股

现代计算机

影响因子:0.292
ISSN:1007-1423
年,卷(期):2024.30(22)