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Cross protocol malware traffic detection using a two-layer ML architecture

Grant US12592948B2 Kind: B2 Mar 31, 2026

Assignee

Palo Alto Networks, Inc.

Inventors

Lei Xu, Taojie Wang, Shengming Xu

Abstract

A system, method, and device for classifying traffic is disclosed. The method includes (i) correlating a plurality of network traffic sessions with same source indicators to obtain correlated network traffic, (ii) classifying the plurality of network traffic sessions based at least in part on a plurality of first-layer classifiers to obtain a set of first-layer classifications, wherein the plurality of first-layer classifiers are respectively associated with a plurality of protocols, and (iii) determining a second-layer classification for the correlated network traffic based at least in part on the set of first-layer classifications.

CPC Classifications

H04L 63/1425 H04L 63/10 H04L 63/1416 H04L 63/0428 H04L 12/4641 H04L 61/4511 H04L 12/4633 H04L 63/0281 H04L 67/56 H04L 63/30 H04L 63/0272 H04L 63/029 H04L 67/564 H04L 45/74 H04L 63/164 H04L 69/22 H04L 41/0631 H04L 63/1458 H04L 41/12 H04L 41/16 H04L 63/1433 H04L 41/145 H04L 43/022 H04L 63/1408 H04L 63/1441 H04L 69/18 G06N 20/00 G06N 20/20 G06N 7/01 G06N 5/02 G06N 5/01 G06N 5/025 G06F 9/545 G06F 21/552

Filing Date

2023-12-22

Application No.

18394403

Claims

25