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 3):
The method as in  claim 1 , wherein the traffic characteristics of the network traffic associated with the device comprise one or more of: packet counts, packet flags, or packet timing information.

Metadata:
- Claim Count in Document: 27.0
- Percentile: 94.0
- Lexical Diversity: 2.14706
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15386306', '15469716', '15212430', '15191152', '14990064']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5273338253065234
- 35 USC 102 Novelty (BERT): 0.4727102279482019
- Combined Prediction Score: 0.5218714655706912
- Mean Citation Score: 118.74413599999998
- Max Citation Score: 135.15613000000002
- Similarity Product: 93.37603075559856

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test