Detecting network activity from sampled network metadata
AssigneeMicrosoft Technology Licensing, LLC
InventorsOmer Karin, Idan Y. Hen, Roy Levin
Life of this patent
Estimating the term…
Abstract
Generally discussed herein are devices, systems, and methods for cloud traffic monitoring. A method can include receiving sampled network metadata of a packet transmitted via a computer network, providing the sampled network metadata to a neural network (NN) trained on labeled sampled network metadata, and providing, based on only the sampled network metadata, a classification for the sampled network metadata via the trained neural network.
Claims20
A device comprising:
- processing circuitry;
- a memory including instructions that when executed by the processing circuitry cause the processing circuitry to perform operations, the operations comprising:
- receiving sampled network metadata of a packet transmitted via a computer network;
- providing the sampled network metadata to a neural network (NN) trained on labeled sampled network metadata;
- and
- providing, based on only the sampled network metadata, a classification for the sampled network metadata via the trained neural network.
A method comprising
- receiving, at processing circuitry of a device, sampled network metadata of a packet transmitted via a computer network;
- providing, by the processing circuitry, the sampled network metadata to a neural network (NN) trained on labeled sampled network metadata;
- and
- providing, based on only the sampled network metadata, a classification for the sampled network metadata via the trained neural network.
A non-transitory machine-readable medium including instructions that, when executed by a machine, cause the machine to perform operations comprising:
- receiving sampled network metadata of a packet transmitted via a computer network;
- providing the sampled network metadata to a neural network (NN) trained on labeled sampled network metadata;
- and
- providing, based on only the sampled network metadata, a classification for the sampled network metadata via the trained neural network.
Dependencies are inferred from the claim text.