摘要
针对大数据的非结构化数据安全问题,基于数据类型和数据敏感度级别,提出了一种保障非结构化数据安全的方法.首先,通过数据分析获取所需数据类型和敏感度级别,并构建数据库的数据节点.其次,为数据节点提供安全算法,这些安全算法与数据节点交互形成安全套件.再次,通过接口的调度算法为非结构化数据提供足够的安全性,以及降低系统的开销和提高访问效率.最后,通过实验表明该方法在能够充分地保障大数据安全的前提下,系统的时间开销不超过传统方法的52.85%.
Aiming at the problem of unstructured data security,a method to guarantee unstructured data security is proposed by considering types of data and their sensitivity levels.Firstly,types of data and their sensitivity levels are obtained through different analysis methods of data,and then the data nodes of the database are constructed.Secondly,security algorithms are designed for data nodes.These security algorithms interact with data nodes to form security suites.Thirdly,the security suite provides enough security for unstructured datathrough the scheduling algorithm of the interface,as well as reducing the overhead of the system and improving access efficiency.Finally,the experiment shows that this method can guarantee the security of large data fully,and the time cost of the system does not exceed 52.85%of the traditional processing time.
作者
陈志辉
吴敏敏
CHEN Zhihui;WU Minmin(College of Information Engineering,Putian University,Putian 351100,China)
出处
《延边大学学报（自然科学版）》
CAS
2019年第1期58-63,共6页
Journal of Yanbian University（Natural Science Edition）
基金
福建省教育厅中青年教师教育科研项目(JK180480)
莆田市科技项目(2015G2011)
关键词
非结构化数据
数据安全
数据分析
隐私保护
访问控制
安全套件
unstructured data
data security
data analysis
privacy protection
access control
security suites
