公开(公告)号：US20230403292A1

公开(公告)日：2023-12-14

申请号：US18235974

申请日：2023-08-21

Applicant: Redberry Systems, Inc.

Inventor： Madhavan BAKTHAVATCHALAM ,  Sandeep KHANNA ,  Varadarajan SRINIVASAN

IPC: H04L9/40 ,  G06N20/00 ,  G06N5/04

CPC classification number: H04L63/1425 ,  H04L63/1416 ,  G06N20/00 ,  G06N5/04

Abstract: This disclosure provides systems, methods and apparatuses for classifying traffic flow using a plurality of learning machines arranged in multiple hierarchical levels. A first learning machine may classify a first portion of the input stream as malicious based on a match with first classification rules, and a second learning machine may classify at least part of the first portion of the input stream as malicious based on a match with second classification rules. The at least part of the first portion of the input stream may be classified as malicious based on the matches in the first and second learning machines.

公开(公告)号：US20230396636A1

公开(公告)日：2023-12-07

申请号：US18235762

申请日：2023-08-18

Applicant: Redberry Systems, Inc.

Inventor： Madhavan BAKTHAVATCHALAM ,  Sandeep KHANNA ,  Varadarajan SRINIVASAN

IPC: H04L9/40 ,  G06N20/00 ,  G06N5/04

CPC classification number: H04L63/1425 ,  H04L63/1416 ,  G06N20/00 ,  G06N5/04

Abstract: This disclosure provides systems, methods and apparatuses for classifying traffic flow using a plurality of learning machines arranged in multiple hierarchical levels. A first learning machine may classify a first portion of the input stream as malicious based on a match with first classification rules, and a second learning machine may classify at least part of the first portion of the input stream as malicious based on a match with second classification rules. The at least part of the first portion of the input stream may be classified as malicious based on the matches in the first and second learning machines.