Title:
減少する相関の時間的及び動的な解析を用いた原因となる異常のランク付け
Document Type and Number:
Japanese Patent JP6668490
Kind Code:
B2
Abstract:
A method is provided for root cause anomaly detection in an invariant network having a plurality of nodes that generate time series data. The method includes modeling anomaly propagation in the network. The method includes reconstructing broken invariant links in an invariant graph based on causal anomaly ranking vectors. Each broken invariant link involves a respective node pair formed from the plurality of nodes such that one of the nodes in the respective node pair has an anomaly. Each causal anomaly ranking vector is for indicating a respective node anomaly status for a given one of the plurality of nodes when paired. The method includes calculating a sparse penalty of the casual anomaly ranking vectors to obtain a set of time-dependent anomaly rankings. The method includes performing temporal smoothing of the set of rankings, and controlling an anomaly-initiating one of the plurality of nodes based on the set of rankings.
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Inventors:
Chain, way
Jean, Kai
Chen, Hai Phong
Gian, Guofei
Jean, Kai
Chen, Hai Phong
Gian, Guofei
Application Number:
JP2018541298A
Publication Date:
March 18, 2020
Filing Date:
February 01, 2017
Export Citation:
Assignee:
NEC Laboratories America, Inc.
International Classes:
G06F11/07; G06N20/00
Foreign References:
| WO2011099341A1 | ||||
| WO2013111560A1 | ||||
| US20170093900 |
Attorney, Agent or Firm:
Akio Miyazaki
Masaaki Ogata
Masaaki Ogata