Multi-level learning for classifying traffic flows on a first packet from DNS data
AssigneeSilver Peak Systems, Inc.
InventorDavid Anthony Hughes
Life of this patent
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AssigneeSilver Peak Systems, Inc.
InventorDavid Anthony Hughes
Estimating the term…
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.
A method of selecting a network path for transmitting data across a network, the method comprising:
A method of selecting a network path for transmitting data across a network, the method comprising:
A system for inferring an application name for a first packet of a flow at a network appliance, the system comprising:
Dependencies are inferred from the claim text.