摘要
大数据的安全问题是影响大数据应用的关键因素之一,而评估大数据应用的安全性成为业界关注的课题。针对大数据应用安全性的评估问题,在梳理大数据安全研究现状的基础上,从数据和计算两个层面上分析大数据所面临的安全问题,综述目前主要的解决大数据安全问题的研究成果,包括分布式计算的安全技术、数据溯源技术、隐私保护的数据挖掘技术等。最后从数据的可信性、隐私保护程度等方面提出一些大数据安全性的评估指标。
Big data security is one of the key factors affecting big data applications,and the evaluation of the security of big data applications becomes the industry concern. In light of this issue,in this paper we analyse the security challenges encountered by big data from the aspects of data and computing based on sorting the status quo of big data security studies. Then we give a survey on the main research outcomes of solving these challenges,including the security technology of distributed computing,the data traceability technology,and the data mining technology for privacy protection. Finally,from the aspects of data creditability,privacy protection degree,etc.,we also propose some evaluation indices for the big data security.
出处
《计算机应用与软件》
CSCD
2016年第4期34-38,71,共6页
Computer Applications and Software
基金
上海市科委科技攻关项目(13511505303)
上海市技术带头人项目(13XD1421800)
关键词
大数据
安全
隐私保护
隐私保护的数据挖掘
安全评估
Big data
Security
Privacy protection
Data mining for privacy protection
Security evaluation
