摘要
指出安全与隐私防护是大数据面临的两个重要的问题。认为大数据在引入新的安全问题和挑战的同时,也为信息安全领域带来了新的发展契机,即基于大数据的信息安全相关技术可以反过来用于大数据的安全和隐私保护。目前,基于大数据的数据真实性分析被广泛认为是最为有效的方法。认为信息安全企业未来的发展前景为:以底层大数据服务为基础,各个企业之间组成相互依赖、相互支撑的信息安全服务体系,通过构建安全大数据,逐步形成大数据安全生态环境。
Security and privacy protection are two important issues with big data. On the one hand, big data creates new security problems and challenges. On the other hand, it creates new opportunities for the development of information security. Bigdata-based information security technologies can be used for security and privacy protection. Big-data-based data authenticity analysis is widely considered to be the most effective method. Development prospects for information security are： the data underlying service is the foundation, and enterprises between each other can form the system in which they have mutual dependence, mutual support of information security service. By building up the security big data system, a good environment for information security industry is formed.
出处
《中兴通讯技术》
2016年第2期53-56,共4页
ZTE Technology Journal
关键词
大数据
安全
隐私
认证
big data
security
privacy
authentication
