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Anomaly detection using depth learning on time series data related to application information
Anomaly detection using depth learning on time series data related to application information
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机译:异常检测使用与应用信息相关的时间序列数据的深度学习
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摘要
A method and system for detecting and correcting anomalies in comparison with a previous time series segment of a sensor (204), a new time series segment generated by a sensor in a cyberphysical system Including generating similarity measures for each previous time series segment.Based on the similarity measure, it is determined that a new time series represents an abnormal behavior (206).Corrective measures are performed for the cyber physics system to correct the abnormal behavior (208).
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