Anomaly detection based on directional data
US7406653B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 2, 2005 |
| Grant date | Jul 29, 2008 |
| Priority date | — |
| Expiry date | Feb 23, 2027 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/35
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.