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MONITORING SYSTEM users work with information resources of a corporate computer network based on modeling user behavior in order to find anomalies and changes in work

机译:监视系统用户基于对用户行为进行建模的基础上使用公司计算机网络的信息资源,以发现工作中的异常和变化

摘要

The invention relates to the field of computer technology, in particular to the work users of computer networks settings to collect and analyze system information and computing resources of the local network. The technical result is the collection and consolidation of descriptions of user activity, as well as detection of abnormal actions of individual users, aimed at the use of resources, as well as the detection of changes in the composition of their resources and their usage statistics. The technical result is achieved in that the system comprises a scalable suite of modules 1 acquisition parameters the user experience with network resources, allowing submit work people are a set of descriptions of completed actions of users to work with the resources, each of which represented a set of typed attributes, among which must include the user name , the computer name and time of action. Module 2 storage built user experience descriptions module 3 constructing models of user behavior, describing statistical relationships and correlations between attributes, e.g., in the form of association rules for attributes of users working descriptions of values, module 4 ratings abnormality user experience descriptions attributes based on the constructed models of behavior and module 5 calculations on the basis of statistics of users descriptions of attribute values ​​of work and presentation of statistics in the form of an OLAP cube and comparisons histograms describing the parameters of the user derived from an OLAP cube.
机译:本发明涉及计算机技术领域,尤其涉及计算机网络设置的工作用户,以收集和分析局域网的系统信息和计算资源。技术结果是收集和合并用户活动的描述,以及检测单个用户针对资源使用的异常行为,以及检测其资源组成及其使用统计的变化。取得技术成果的原因在于,该系统包括可扩展的模块套件1用户使用网络资源体验的获取参数,允许提交工作的人员是用户使用资源完成操作的一组描述,每个操作代表一个资源。一组类型化的属性,其中必须包括用户名,计算机名和操作时间。模块2存储构建的用户体验描述模块3构建用户行为模型,描述属性之间的统计关系和相关性,例如以用户属性值的关联规则的关联规则的形式对值进行工作描述,模块4基于以下内容对异常用户体验描述属性进行评级根据用户的统计数据对工作的属性值进行描述并以OLAP多维数据集的形式呈现统计数据,并根据描述从OLAP多维数据集得出的用户参数的比较直方图,构建行为模型和模块5的计算。

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