公开(公告)号：US20230328528A1

公开(公告)日：2023-10-12

申请号：US17716006

申请日：2022-04-08

Applicant: Nokia Solutions and Networks Oy

Inventor： Mehrnoosh Monshizadeh ,  Vikramajeet Khatri ,  Marah Gamdou

IPC: H04W12/122

CPC classification number: H04W12/122

Abstract: According to an example aspect of the present disclosure, there is provided a method, comprising, receiving input data comprising data points, applying a conditional variational autoencoder to the received data points to generate features associated with the received data points, wherein said applying the conditional variational autoencoder comprises using a label corresponding to a type of network traffic as a conditional variable of the conditional variational autoencoder, applying a classifier to the features to classify the received data points into categories and performing at least one action based on the categories.

公开(公告)号：US20230254329A1

公开(公告)日：2023-08-10

申请号：US18161292

申请日：2023-01-30

Applicant: Nokia Solutions and Networks Oy

Inventor： Mehrnoosh MONSHIZADEH ,  Vikramajeet Khatri ,  Marah Gamdou

IPC: H04L9/40 ,  G06F18/23211

CPC classification number: H04L63/1425 ,  G06F18/23211

Abstract: According to an example aspect of the present invention, there is provided an apparatus, comprising means for performing, receiving input data comprising data points, applying N initial clustering algorithms at least to a subset of said data points to generate N initial clustering matrices, generating a co-association matrix from the N initial clustering matrices, generating a distance matrix from the co-association matrix, applying a density based clustering algorithm to the distance matrix to generate data clusters, determining a subset of the generated data clusters as anomalous clusters, wherein at least some of the data points in each anomalous cluster are anomalous data points and performing at least one action based on the anomalous clusters.