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SYSTEMS AND METHODS FOR VERIFICATION AND ANOMALY DETECTION USING MIXTURE OF HIDDEN MARKOV MODELS

机译:使用隐马尔可夫模型混合进行验证和异常检测的系统和方法

摘要

PROBLEM TO BE SOLVED: To provide systems and methods for verification and anomaly detection using mixture of hidden Markov models.SOLUTION: The present disclosure relates to systems and methods for monitoring data recorded from systems over time. The techniques include the ability to detect and classify system events and to provide indicators of normal system operation and anomaly detection. The systems and methods of the present disclosure can represent events occurring in the system being monitored, can capture and utilize temporal characteristics of the events for the detection, classification and/or anomaly detection, and can be particularly useful when dealing with complex systems and/or events.SELECTED DRAWING: Figure 1A
机译:解决的问题:提供使用隐马尔可夫模型的混合进行验证和异常检测的系统和方法。解决方案:本公开涉及用于监视随时间推移从系统记录的数据的系统和方法。该技术包括检测和分类系统事件以及提供正常系统运行和异常检测指标的能力。本公开的系统和方法可以表示在被监视的系统中发生的事件,可以捕获和利用事件的时间特性以进行检测,分类和/或异常检测,并且在处理复杂的系统和/时特别有用。或事件。选定的图:图1A

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