US 2022/0029902 A1 · Network Anomaly Detection

Abstract

A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

Claims20

Dependent claims

A method of detecting states of a network, the method comprising:

obtaining data related to network parameters;
evaluating a current state of the network, based on the obtained data, by using at least a first model;
providing to a user device, an actionable notification, upon determining that the evaluated state of the network meets a predetermined state differing from a normal state of the network;
wherein the actionable notification indicates the current state of the network;
and
wherein the first model is a trained machine learning model, the first model having been trained on prior network data to enable the first model to evaluate at least a normal state of the network.

3 more elements

Dependencies are inferred from the claim text.

Facts

Application

17/381,909Filed 21 Jul 2021

Priority

21 Jul 2020

Published

27 Jan 2022

Term ends

Not estimatedThe source records don’t support an estimate.

Classification31 codes

H04L 41/16
Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks: using machine learning…
H04L 43/0817
By checking availability: by checking functioning
G06F 9/45558
Hypervisors; Virtual machine monitors: hypervisor-specific management and integration aspects
G06F 18/214
Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation: generating training…

Network Anomaly Detection

Life of this patent

Network Anomaly Detection

Life of this patent

Abstract

Claims20