Verfahren und Systeme zur Erkennung von Anomalien in Cloud-Diensten basierend auf der Gewinnung von Zeitveränderlichen Graphen

Details

Veröffentlichungs-Nr.

EP3951598

Aktenzeichen

EP20193863

Anmeldetag

1. September 2020

Veröffentlichung

6. Dezember 2023

Erteilung

6. Dezember 2023

Rechtsraum

EP

IPC

G06F11/07G06F11/34G06F11/30H04L41/5009H04L41/50H04L43/026

Abstract

A method for anomaly detection of cloud services based on mining time-evolving graphs includes steps of receiving tracing data for a plurality of micro-services of the deployed cloud service, wherein the tracing data defines relationships between the plurality of micro-services of the deployed cloud service at a plurality of different time intervals, computing a functional graph based on the tracing data for each of the plurality of different time intervals, wherein nodes of each functional graph include the plurality of micro-services and wherein links between the nodes represent relationships between the plurality of micro-services, comparing the functional graphs for each of the plurality of time intervals to determine an anomaly score for each of the functional graphs, and detecting a presence of one or more anomalies based on the anomaly scores.

Anmelder

Firma

NEC Laboratories Europe GmbH

Land

🇩🇪 Deutschland

Fachgebiete