多用户数据库中访问信息跟踪准确识别仿真  

Accurate Identification and Simulation of Access Information Tracking in Multi-User Database

作　　者：李芳菊[1] LI Fang-ju(College of Information & Bussiness,Zhongyuan University of Technology,Zhengzhou Henan 450009,China)

机构地区：[1]中原工学院信息商务学院,河南郑州450009

出　　处：《计算机仿真》2019年第1期373-376,共4页Computer Simulation

基　　金：公安系统电动车防盗管理平台设计与实现(182102210511)

摘　　要：对网络多用户数据库中的访问信息进行跟踪识别,能够有效提高数据库运行效率,提升网络用户体验质量。对多用户数据库中存储的访问信息的跟踪识别,需要分析任意两个访问信息之间的关联性,给出数据库关联模式与冲突识别的匹配规则,完成访问信息跟踪的识别。传统方法分析访问信息异常原因,对数据库访问冲突类型进行类别划分,但忽略了获取数据库关联与冲突间的匹配规则。提出基于优先级的多用户数据库访问信息跟踪识别方法,采用一个四元组分析用户访问信息库,获取任意两个数据存在的冲突相似度。分析任意两个访问信息之间的关联性,给出多用户数据库间存在的关联模式与冲突识别的匹配规则,对多用户数据库访问信息跟踪进行检测。实验结果证明,所提方法能够实现高效、高准确性地识别多用户数据库访问信息冲突,且具有良好的稳定性。To track and recognize access information in multi-user database can effectively improve the running efficiency of database and improve the experience quality of network user. The traditional method ignores the matching rule between database association and database collision. Therefore,a method to track and recognize access information in multi-user database based on priority was proposed. At first,a quadruple was used to analysis user access information base and obtain the collision similarity between any two data. Then,the correlation between any two access information was analyzed. Finally,the matching rules of correlation pattern and collision recognition between the multi-user databases were given to detect access information in multi-user database. Simulation results show that the proposed method can efficiently and accurately recognize the collision of access information in multi-user database,which has good stability.

关 键 词：多用户 数据库 访问信息 跟踪识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]