首页> 外国专利> COMPUTER-IMPLEMENTED PROCESS AND SYSTEM EMPLOYING OUTLIER SCORE DETECTION FOR IDENTIFYING AND DETECTING SCENARIO-SPECIFIC DATA ELEMENTS FROM A DYNAMIC DATA SOURCE

COMPUTER-IMPLEMENTED PROCESS AND SYSTEM EMPLOYING OUTLIER SCORE DETECTION FOR IDENTIFYING AND DETECTING SCENARIO-SPECIFIC DATA ELEMENTS FROM A DYNAMIC DATA SOURCE

机译:计算机实现的过程和系统采用外部得分检测,以从动态数据源中识别和检测特定场景的数据元素

摘要

Methods and apparatuses employing outlier score detection method and apparatus for identifying and detecting threats to an enterprise or e-commerce system for identifying and detecting threats to an enterprise or e-commerce system are disclosed, including grouping log lines belonging to one or more log line parameters from one or more enterprise or e-commerce system data sources and/or from incoming data traffic to the enterprise or e-commerce system; extracting one or more features from the grouped log lines into one or more features tables; using one or more statistical models on the one or more features tables to identify statistical outliers; using the one or more features tables to create one or more rules for identifying threats to the enterprise or e-commerce system; and using the one or more rules on incoming enterprise or e-commerce system data traffic to detect threats to the enterprise or e-commerce system. Other embodiments are described and claimed.
机译:公开了采用异常值分数检测方法和装置以识别和检测对企业或电子商务系统的威胁以识别和检测对企业或电子商务系统的威胁的方法和装置,包括对属于一个或多个日志行的日志行进行分组来自一个或多个企业或电子商务系统数据源的参数和/或来自传入企业或电子商务系统的数据流量的参数;从分组的日志行中提取一个或多个功能到一个或多个功能表中;在一个或多个功能表上使用一个或多个统计模型,以识别统计异常值;使用一个或多个功能表创建一个或多个规则,以识别对企业或电子商务系统的威胁;并且使用关于传入企业或电子商务系统数据流量的一个或多个规则来检测对企业或电子商务系统的威胁。描述和要求保护其他实施例。

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