Invention Grant
- Patent Title: Multi-level learning for classifying traffic flows on a first packet from DNS data
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Application No.: US16375852Application Date: 2019-04-04
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Publication No.: US10771394B2Publication Date: 2020-09-08
- Inventor: David Anthony Hughes
- Applicant: Silver Peak Systems, Inc.
- Applicant Address: US CA Santa Clara
- Assignee: Silver Peak Systems, Inc.
- Current Assignee: Silver Peak Systems, Inc.
- Current Assignee Address: US CA Santa Clara
- Agency: Carr & Ferrell LLP
- Main IPC: H04L12/28
- IPC: H04L12/28 ; H04L12/851 ; H04L12/24 ; H04L12/741 ; G06N20/00 ; H04L12/721 ; H04L12/26 ; H04L29/12

Abstract:
Disclosed herein are systems and methods for multi-level classification of data traffic flows based on information in a first packet for a data traffic flow. In exemplary embodiments of the present disclosure, a key can be generated from intercepted DNS data to track data traffic flows by application names and source and destination IP addresses. Based on these keys, patterns can be discerned to infer data traffic information based on only the information in a first packet, such as source and destination IP address. The determined patterns can be used to predict classifications of future traffic flows with similar key information. In this way, data traffic flows can be classified and steered in a network based on limited information available in a first packet.
Public/Granted literature
- US20190230038A1 MULTI-LEVEL LEARNING FOR CLASSIFYING TRAFFIC FLOWS ON A FIRST PACKET FROM DNS DATA Public/Granted day:2019-07-25
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