Patent · US Active

Content-level anomaly detection for heterogeneous logs

US10929765B2 · kind B2 · utility

0Cited by

14References

18Claims

0Family size

Assignee

NEC CORPORATION · JP

Inventors

Biplob Debnath · Minneapolis, US
Hui Zhang · Princeton, US
Jianwu Xu · Lawrenceville, US
Nipun Arora · Plainsboro, US
Guofei Jiang · Princeton, US
Bo Zong · Princeton Colonial Park, US

Key dates

Filing date	Aug 16, 2017
Grant date	Feb 23, 2021
Priority date	—
Expiry date	Nov 24, 2039

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

A computer-implemented method for automatically analyzing log contents received via a network and detecting content-level anomalies is presented. The computer-implemented method includes building a statistical model based on contents of a set of training logs and detecting, based on the set of training logs, content-level anomalies for a set of testing logs. The method further includes maintaining an index and metadata, generating attributes for fields, editing model capability to incorporate user domain knowledge, detecting anomalies using field attributes, and improving anomaly quality by using user feedback.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.