公开(公告)号：US12284094B2

公开(公告)日：2025-04-22

申请号：US18147489

申请日：2022-12-28

Applicant: Juniper Networks, Inc.

Inventor： Ajit Krishna Patankar ,  Kaushik Adesh Agrawal ,  Kihwan Han ,  Monimoy Deb Purkayastha ,  Patrick John Melampy ,  Patrick Timmons

IPC: H04L43/04 ,  H04L41/16 ,  H04L43/062 ,  H04L43/0882 ,  H04L47/27 ,  H04N21/643

Abstract: A device may receive network traffic data that includes network traffic packet sizes, and may transform the network traffic data into transformed data. The device may process the transformed data, with a machine learning model, to generate an embedding, and may obtain a similarity metric for the embedding. The device may create a graph with nodes and edges based on the embedding and the similarity metric, and may process the graph, with a community detection model, to identify network traffic categories for the network traffic data. The device may perform one or more actions based on the network traffic categories.

公开(公告)号：US20240176878A1

公开(公告)日：2024-05-30

申请号：US18459036

申请日：2023-08-30

Applicant: Juniper Networks, Inc.

Inventor： Ajit Krishna Patankar ,  Kihwan Han ,  Prasad Miriyala ,  Mansi Joshi ,  Shruti Jadon ,  Deepak Kumar Naik ,  Maria Charles Maria Selvam

IPC: G06F21/55

CPC classification number: G06F21/554 ,  G06F2221/034

Abstract: An example system for performing root cause analysis for a plurality of network devices includes one or more processors implemented in circuitry and configured to: receive telemetry data from the plurality of network devices; apply an artificial intelligence (AI) anomaly detection model, trained on historical telemetry data to detect anomalies in the historical telemetry data, to the received telemetry data to detect one or more anomalies in the received telemetry data; and apply an AI root cause analysis mode, trained on historical data, to the anomalies to determine a root cause of an issue causing the one or more anomalies.