移动应用数据库中隐蔽数据高效定位方法仿真  

Mobile Big Data Anonymous Bidirectional Authentication Method Simulation

作　　者：尚晓丽 包向辉[2] 马春华[3] 尤菲菲[3] SHANG Xiao-li;BAO Xiang-hui;MA Chun-hua;YOU Fei-fei(School of education,Suihua University,Suihua Heilongjiang 152000,China;Modem education technology center,Suihua University,Suihua Heilongjiang 152000,China;School of Information Engineering,Suihua University,Suihua Heilongjiang 152000,China)

机构地区：[1]绥化学院教育学院,黑龙江绥化152000 [2]绥化学院现代教育技术中心,黑龙江绥化152000 [3]绥化学院信息工程学院,黑龙江绥化152000

出　　处：《计算机仿真》2019年第6期403-407,共5页Computer Simulation

基　　金：2018年黑龙江省省属高校基本科研业务费科研项目:移动应用数据库中隐蔽数据高效定位方法研究(项目号:KYYWF10236180108)

摘　　要：为了增强移动应用数据库的数据信息完整性,提升数据利用价值,需要对数据库中的隐蔽数据进行挖掘与定位。针对现有数据定位方法中存在的定位结果误差较大、耗时较长等问题,提出一种基于数据流的移动应用数据库中隐蔽数据高效定位方法。根据移动应用数据库隐蔽数据密度分析结果,利用增量子空间数据挖掘算法计算数据流之间的相关度以及数据流遍历节点的相关系数,依据计算结果获取数据库中的隐蔽数据;采用数据融合异构异质定位方法,将得到的隐蔽数据信息转换到相同的区域内进行信息融合,结合蜂窝融合定位算法,实现移动应用数据库中隐蔽数据高效定位。实验结果表明,所提数据定位方法的定位误差与定位耗时明显低于实验对比方法,验证了所提方法的鲁棒性。In order to enhance the integrity of data information in mobile application database and improve the da-ta utilization value,it is necessary to mine and locate the hidden data in database.This article puts forward an effi-cient method to locate hidden data in mobile application database based on data flow.According to the density analy-sis result of hidden data in mobile application database,the incremental subspace data mining algorithm was used to calculate the relevance among data streams and the correlation coefficient of data flow to traverse nodes.According to the calculation result,the hidden data in database was obtained.Then,the heterogeneous localization method of data fusion was used to convert the obtained hidden data information into the same area,so as to fuse information.Com-bined with the cellular fusion location algorithm,the efficient location of hidden data in mobile application database was achieved.Simulation results show that the location error and location time consumption of the proposed data loca-tion method is significantly lower than that of comparison method.Meanwhile,the robustness of the proposed method is verified.

关 键 词：应用数据库 隐蔽数据 数据定位 增量子空间 数据流 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]