作　　者： (徐艳）; (王茜）;

机构地区： 电子科技大学成都学院微电子技术系,成都611731

出　　处： 《计算机测量与控制》 2017年第8期147-150,158,共5页

摘　　要： 近年来,随着计算机技术的发展,网络环境下的数据运算能力愈来愈强;加之,大数据时代的来临将人们日常生活、工作、学习的物质化信息转化为数据化关联性链条,通过网络进行大数据资源共享,简化了工作学习的繁杂,提升了工作学习效率;但是,传统的网络储存策略常常出现数据泄露、储存服务器数据溢出等一系列储存安全问题;针对问题产生原因,提出网络计算环境下大容量数据安全存储策略研究方法;通过采用数据修正单元、逻辑补偿单元与节点加密单元,对传统网络储存策略进行动态化针对性解决;通过仿真实验证明,提出的网络计算环境下大容量数据安全存储策略研究方法,具有数据储存响应速度快、反渗透逻辑性强、数据安全级别高、易用性强的优点。 In recent years,with the development of computer technology,data computing power under the network environment become more and more strong.In addition,the advent of the era of big data will turn people＇s daily life,work and study the materialization of information into digital correlation chain,big data through the network resource sharing,simplifies the learning multifarious work,improve the efficiency of work and study.However,the traditional network storage strategy often leaks of data overflow and a series of storage,storage server data security issues.In view of the problem,put forward under the network computing environment,large capacity data security storage strategy research methods.By adopting data correction unit,logic compensation unit and node encryption unit dynamic targeted to solve the traditional network storage strategy.Through the simulation experiments show that under the network computing environment of large capacity data storage strategy research method,a data storage response speed,reverse osmosis,strong logicality,the advantages of high data security,ease of use.

关 键 词： 网络计算环境 数据安全 存储策略 数据溢出