多用户数据库中访问信息跟踪准确识别仿真
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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.
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.
引文
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[3]刘敖迪,王娜,刘磊.面向云服务组合的策略冲突检测机制[J].计算机应用研究,2017,34(4):1145-1150.
[4]潘理,等.基于Petri网局部性的极大冲突集枚举算法[J].电子学报,2016,44(8):1858-1863.
[5]吴世洲,等.基于决策树模型的策略冲突检测方法[J].计算机应用,2016,36(s2):6-10.
[6]姚刚.基于BIM的工业化住宅协同设计中的冲突消解方法研究[J].施工技术,2016,45(18):43-47.
[7]黄晨,等.基于表格的中断数据冲突静态分析方法[J].空间控制技术与应用,2016,42(5):57-62.
[8]孙禾,蔡月茹,周沅.飞机多机飞行冲突状态预测研究[J].计算机仿真,2016,33(6):59-63.
[9]周健,沈震群.移动网络安全策略冲突检测方法的改进研究[J].现代电子技术,2017,40(3):75-78.
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