公开(公告)号：US20250007931A1

公开(公告)日：2025-01-02

申请号：US18342588

申请日：2023-06-27

Applicant: Cisco Technology, Inc.

Inventor： Manoj Kumar Shukla ,  Shankar Gopalkrishnan

IPC: H04L9/40

Abstract: Techniques are described for managing network traffic based on anomaly data. The anomaly data can be collected from network devices. A controller can identify, based on the anomaly data, identifiers, classifications, severities, and other characteristics, can be utilized to generate risk weights associated with the devices. The risk weights can be generated based on numbers of occurrences of the anomalies and the severities. Estimated risk scores associated with the devices can be generated based on the risk weights and anomaly frequencies associated with the classifications of the anomalies. The servers and the controllers can exchange communications with the devices to control the devices, and traffic associated therewith, based on the estimated risk scores.