Nec Corporation

Ning Xia

Haifeng Chen

Dongjin Song

Methods and systems for detecting and correcting anomalies include comparing a new time series segment, generated by a sensor in a cyber-physical system, to previous time series segments of the sensor to generate a similarity measure for each previous time series segment. It is determined that the new time series represents anomalous behavior based on the similarity measures. A corrective action is performed on the cyber-physical system to correct the anomalous behavior.

Anomaly detection using deep learning on time series data

Methods and systems for detecting and correcting anomalous behavior include generating a joint binary embedding of each of a set of historical time series sequences. A joint binary embedding of a recent time series sequence is generated. A ranked list of the plurality of historical time series sequences is generated according to respective similarities of each historical time series sequence to the recent time series sequence based on the respective joint binary embeddings of each. Anomalous behavior of a system associated with the recent time series sequence is determined according to a label of a top-ranked historical time series sequence in the ranked list. A corrective action is performed to correct the anomalous behavior.

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Plainsboro, NJ, United States of America

Ning Xia