PATENT CLAIM ANALYSIS

Application Number: 16003937
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["370", "235000"]

Abstract:
In one embodiment, a traffic analysis service obtains traffic characteristics of network traffic associated with a device in a network. The traffic analysis service uses a machine learning model to infer resource usage by the device based on the obtained traffic characteristics of the network traffic associated with the device. The traffic analysis service controls traffic flows in the network based on the inferred resource usage by the device.

Claim (Index 20):
A tangible, non-transitory, computer-readable medium storing program instructions that cause a traffic analysis service to execute a process comprising:\n obtaining, by the traffic analysis service, traffic characteristics of network traffic associated with a device in a network; using, by the traffic analysis service, a machine learning model to infer resource usage by the device based on the obtained traffic characteristics of the network traffic associated with the device; and controlling, by the traffic analysis service, traffic flows in the network based on the inferred resource usage by the device.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 94.0
- Lexical Diversity: 2.14706
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15386306', '15469716', '15212430', '15191152', '14990064']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5015013949551245
- 35 USC 102 Novelty (BERT): 0.4562568681162983
- Combined Prediction Score: 0.4969769422712418
- Mean Citation Score: 118.74413599999998
- Max Citation Score: 135.15613000000002
- Similarity Product: 103.83996284172656

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test