摘要
为解决现有脱敏方法在执行测试数据任务时,受系统服务器中央处理器(CPU)核心数目和测试数据规模的影响,存在脱敏速度慢等缺点,提出了基于中间件技术的配电系统测试数据脱敏方法。在建立测试数据敏感性识别规则基础上,设计了包括感知层、中间层和应用层的配电系统结构,从感知层开始检测和标记配电系统接入端的敏感数据,监测脱敏系统结构中的整个生命周期变化,并采用中间件技术设计包括敏感测试数据泄漏感知组件、攻击防御组件和补丁分发组件的脱敏系统,利用该脱敏系统获得测试数据,以测试数据为依据进行建模分析,形成脱敏自动化流程,实现测试数据脱敏。测试结果显示,当脱敏系统中具有5个CPU核心时,脱敏处理速度最快,耗时最短,且所提方法的脱敏性不会受到测试数据规模的影响,具有较好的抗攻击性,同时能够保证解密后测试数据的可用性。
The existing desensitization methods are affected by the number of CPU cores and the size of test data, and have some shortcomings such as slow desensitization speed and long time consuming. The paper proposes a middleware-based desensitization method for distribution system test data. Based on the rule of sensitivity identification of test data, it designs the distribution system structure including perceptual layer, middle layer and application layer, detects and labels the sensitive data at the access end of distribution system perceptual layer. Monitoring the whole life cycle of the desensitization system structure, and using the middleware technology to design the desensitization system including the sensitive test data leak awareness component, it develops the attack defense component and the patch distribution component for this desensitization system test data modeling analysis. The automatic process of desensitization is formed to realize the desensitization of test data. The test results show that when there are 5 CPU cores in the desensitization system, the desensitization processing speed is the fastest and the time consuming is the shortest, and the desensitization ability of the proposed method is not affected by the size of the test data. At the same time, it can ensure the test data availability after decryption.
作者
徐焕
查志勇
罗弦
詹伟
冯浩
Xu Huan;Zha Zhiyong;Luo Xian;Zhan Wei;Feng Hao(Information & Communication Branch of State Grid Hubei Electric Power Co.,Ltd., Hubei Wuhan, 430077, China)
出处
《机械设计与制造工程》
2019年第3期50-54,共5页
Machine Design and Manufacturing Engineering
关键词
大数据
配电系统
测试数据
脱敏技术
big data
distribution system
test data
desensitization technology
