Anomaly detection based on directional data

Details Anomaly detection based on directional data Anomaly detection based on directional data

2005-08-02

2008-07-29

Chaudry, M. Mujtaba K (Department: 2112)

Error detection/correction and fault detection/recovery

Pulse or data error handling

Error/fault detection technique

C714S760000, C712S026000, C382S197000, C707S793000

Reexamination Certificate

active

07406653

ABSTRACT:
Properly detects an anomaly on the basis of directional data that are obtained in sequence from a monitored object. An anomaly detecting method includes: sequentially generating directional data indicating a feature of each piece of monitored data correspondingly to the monitored data which are input in sequence; calculating the dissimilarity of the directional data to a reference vector; updating a moment of the distribution of the dissimilarity appearing when the directional data is modeled with a multi-dimensional probability distribution, based on the moment already corresponding to the monitored data; calculating a parameter determining the variance of the multi-dimensional probability distribution, on the basis of the moment; calculating a threshold of the dissimilarity on the basis of the multi-dimensional probability distribution the variance of which is determined by the parameter; and detecting an anomaly in the monitored data that corresponds to the dissimilarity if the dissimilarity exceeds the threshold.

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