摘要
随着云计算中应用程序急剧增长,大数据传输过程中的安全问题已经成为一个相当大的问题。数据加密的执行时间是数据处理和传输过程中的一个重要问题。针对许多当前的应用程序放弃数据加密,以达到与隐私相关的采用性能级别的问题,以隐私问题为研究重点,提出了一种新的数据加密方法,即动态数据加密策略。提出的方法旨在有选择地加密数据,并在时间限制下使用隐私分类方法。此方法通过在所需执行时间要求内使用选择性加密策略来最大化隐私保护范围。实验中对动态数据加密策略的性能进行评估,不同的实验设置在输入数据不同、约束条件不同的情况下,使用该加密策略具有很大的优势,可以实现高效的方法生成。
With the rapid growth of applications in cloud computing, the security problem in the process of big data transmission has become a considerable problem. The execution time of data encryption is an important problem in the process of data processing and transmission. For many current applications, data encryption is abandoned to achieve privacy related adoption performance levels. This paper focuses on the privacy problem, and proposes a new data encryption method, which is dynamic data encryption strategy. The method proposed in this paper aims to selectively encrypt data and use privacy classification method under time constraints. This method maximizes the scope of privacy protection by using selective encryption policy within the required execution time. In the experiment, the performance of dynamic data encryption strategy is evaluated. Different experimental settings are different in the input data and constraints. Using this encryption strategy has great advantages and can achieve efficient method generation.
作者
陈亚科
Chen Yake(China Coal Research Institute,Beijing 100020,China)
出处
《电子测量技术》
2020年第7期119-123,共5页
Electronic Measurement Technology
基金
国家科技重大专项(2016ZX05045007-002)
关键词
大数据
模型
安全
加密
big data
model
security
encryption
