公开(公告)号：US20240303511A1

公开(公告)日：2024-09-12

申请号：US18179137

申请日：2023-03-06

Applicant: Hewlett Packard Enterprise Development LP

Inventor： MADHUSOODHANA CHARI SESHA ,  Ramasamy Apathotharanan ,  Sumangala Bannur Subraya ,  Madhumitha Rajamohan ,  Azath Abdul Samadh ,  Chirag Dineshkumar Shah

IPC: G06N5/025 ,  G06F18/24 ,  H04L43/026

CPC classification number: G06N5/025 ,  G06F18/24765 ,  H04L43/026

Abstract: Systems and methods are provided for classifying network traffic flows across a network. Specifically, the network traffic flows are classified under a fully-segmented ruleset, wherein the fully segmented ruleset was generated by training a decision tree machine learning (“ML”) algorithm with a training dataset, and wherein each item of the training dataset satisfies the complete rule pathway to different leaf nodes of the fully segmented ruleset. Classification under a fully-segmented ruleset allowing for capture of idiosyncratic patterns specific to a given malicious source of network traffic flows. Further, systems and methods are provided allowing for a user to designate network traffic flows for classification of network traffic flows at different network devices, wherein the classification at different network devices may allow for more computationally intensive classification.