大数据安全防护体系及访问控制技术研究
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摘要
随着云计算、物联网、移动互联网等信息技术迅猛发展,大数据应用是现有产业的重要推动力量。为了找到大数据高效应用和数据安全防护的平衡点,研究了大数据安全防护体系的功能架构,从安全标准、安全管理、安全防护和云基础支撑四个模块来详细阐述,结合数据访问控制机制,实现帐号管理、认证管理、授权管理、数据识别等,并将其统一到大数据安全服务系统中,提高了大数据时代数据资源的安全保护。
With the rapid development of information technology, such as cloud computing, Internet of things, mobile Internet and so on, big data application is an important driving force for the existing industry. In order to find the balance between efficient application of big data and data security protection, this paper studies the functional architecture of big data security protection system, from safety standards, safety management, safety protection and cloud based support four modules in detail, combined with the data access control mechanism, realizing account management, certification management, authorization management and data identification etc., and then unifies them in the service system for big data security, enhance the security protection of data resources in the era of big data.
With the rapid development of information technology, such as cloud computing, Internet of things, mobile Internet and so on, big data application is an important driving force for the existing industry. In order to find the balance between efficient application of big data and data security protection, this paper studies the functional architecture of big data security protection system, from safety standards, safety management, safety protection and cloud based support four modules in detail, combined with the data access control mechanism, realizing account management, certification management, authorization management and data identification etc., and then unifies them in the service system for big data security, enhance the security protection of data resources in the era of big data.
引文
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