摘要
为了提高移动网络中心云计算存储数据访问和安全监测能力,提出一种基于深度学习和交叉编译控制的移动网络中心云计算存储数据访问安全自动监测系统设计方法。采用混合属性数据模糊加权聚类方法进行移动网络中心云计算存储数据的优化访问控制模型设计,根据云计算存储数据之间的属性相似度进行离散化数值属性分解,提取移动网络中心云计算存储数据的混合属性特征量,根据最小化云存储数据访问成本为代价进行移动网络中心云计算存储数据访问的安全监测。结合深度学习方法进行数据访问的自适应控制,在交叉编译环境下实现云计算存储数据访问安全自动监测系统开发设计。测试结果表明,采用该方法进行移动网络中心云计算存储数据访问的安全性较好,自动化控制能力较强。
In order to improve the capability of cloud computing storage data access and security monitoring in mobile network center,a design method of mobile network center cloud computing storage data access security automatic monitoring system based on deep learning and cross-compilation control is proposed.The hybrid attribute data fuzzy weighted clustering method is used to design the optimal access control model for cloud computing storage data in mobile network center,and the discrete numerical attribute decomposition is carried out according to the attribute similarity between cloud computing storage data.The hybrid attribute feature of cloud computing storage data in mobile network center is extracted,and the security monitoring of cloud computing storage data access in mobile network center is carried out at the cost of minimizing the cost of cloud storage data access.Combined with the depth learning method,the data access adaptive control is implemented to realize the development and design of the cloud computing storage data access security automatic monitoring system under cross-compiling environment.The test results show that the security and automation control ability of the method are good for cloud computing data access in mobile network center.
作者
王军
黄娟
WANG Jun;HUANG Juan(Xi'an University of post and telecommunications,Xi'an 710121,China)
出处
《自动化与仪器仪表》
2020年第2期73-76,共4页
Automation & Instrumentation
基金
西安邮电大学教改项目:基于教务管理平台的教务管理业务流程重构研究(No.JGA201707)
关键词
移动网络中心
云计算
存储数据
访问
安全自动监测
mobile network center
cloud computing
storage data
access
security automatic monitoring
