混合云存储下物联网隐私数据保护模型研究  

Research on Privacy Data Protection Model of Internet of Things under Hybrid Cloud Storage

作　　者：闫攀 周莉 闫会峰[2] YAN Pan;ZHOU Li;YAN Hui-feng(School of Big Data&Computer Science Engineering of Chongqing College of Mobile Communication,Chongqing 401520,China;School of Software Engineering of Chongqing University of Posts and Telecommunications,Chongqing 400065,China)

机构地区：[1]重庆移通学院大数据与计算机科学学院,重庆401520 [2]重庆邮电大学软件工程学院,重庆400065

出　　处：《计算机仿真》2023年第2期530-534,共5页Computer Simulation

基　　金：2020年重庆邮电大学移通学院校级课题(YTJG2020492)。

摘　　要：目前物联网隐私数据保护模型没有对物联网数据进行预处理,存在信息损失度高、数据可用性差、模型性能差以及安全性差的问题。提出混合云存储下物联网隐私数据保护模型研究方法。方法首先对物联网隐私数据进行数据清理、数据变换以及损失量计算的预处理,保证数据能更加适应数据保护模型,其次分别对物联网隐私数据以及用户信息进行加密处理,并在混合云的基础上构建出带有四层模块的保护模型,将加密技术添加到模型中,实现物联网隐私数据保护。实验结果表明,所提方法的信息损失度低、数据可用性高、模型性能好以及安全性高。At present,some models ignore preprocessing the IoT data during the privacy data protection,leading to the problems such as high information loss and low data availability.This paper proposed a method focusing on the research of IoT privacy data protection model based on hybrid cloud storage was proposed.Firstly,this method preprocessed the IoT privacy data,such as the data cleaning,data transformation and loss calculation,to ensure that the data could be more adapted to the data protection model.Secondly,the method encrypted private data and user information,and built a protection model with four-layer modules based on hybrid cloud.Finally,the encryption technology was applied to the model.Thus,the protection for IoT privacy data was achieved.Experimental results show that the proposed method has low information loss,high data availability,good performance and high security.

关 键 词：混合云 物联网 隐私数据 预处理 数据变换 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]