摘要
传统设备和工具在扩展性和分析技术上已经不能满足大数据的应用要求,当前大数据通常是在云计算环境下搭建Hadoop进行存储和分析,而基于云的大数据安全风险来源于云计算服务商以及远程数据应用者对未授权文件及内容的越权操作。本文分析了在不同云计算部署模式下,Hadoop不同阶段操作过程中,不可信主体对数据服务和隐私安全构成的威胁,并给出对应的威胁模型实例。最后根据上述安全风险给出对应的安全策略。
Traditional equipments and tools can not meet the requirements of big data application in scalability and analysis. People currently always use Hadoop to store and analyze big data in cloud computing environment. The risks of big data application on cloud come from cloud service providers and remote users who access data with unauthorized right. The paper presented the threats under different deployment of cloud,and analysed the risk at different stages of operation in Hadoop. The paper gave a thread model for big data application and finally gave the corresponding security policy.
出处
《计算机与现代化》
2014年第8期58-61,共4页
Computer and Modernization
基金
国家科技重大专项课题资助项目(2012ZX03002003)
