摘要
云环境下面向隐私保护的用户行为主要存在的就是隐私泄漏行为,为了更好地进行该项用户行为分析,将借助软件监测应用程序,调出相关的接口,从而对泄漏隐私的用户行为特点做出探究。文章对正常使用情况下的QQ软件以及植入木马病毒后QQ软件进行研究,分别建立全局PNN模型,研究该项模型的定性分析和定量分析等方面,从而对云环境下面向隐私保护的用户行为做出准确的分析研究。
Privacy-oriented user behavior exists in the cloud environment mainly for privacy leakage behavior. In order to better conduct the user behavior analysis, the software will be used to monitor the application program and bring up the relevant interfaces, so as to reveal the privacy of the user behavior characteristics make an inquiry. In this paper, the QQ software under normal use and the QQ software after the trojan virus implantation are researched, the global PNN model is established respectively, and the qualitative analysis and quantitative analysis of the model are studied. Thus, the privacy-oriented user behavior in cloud environment make accurate analysis and research.
出处
《无线互联科技》
2018年第3期44-45,共2页
Wireless Internet Technology
关键词
云计算
PNN
用户行为
隐私泄露
性能
cloud computing
probabilistic neural network
user behavior
privacy disclosure
performance
