PATENT CLAIM ANALYSIS

Application Number: 16008668
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["370", "259000"]

Abstract:
Devices and systems for voice over Internet protocol (VoIP) for identifying network traffic are described herein. One or more embodiments include a VoIP device for identifying network traffic comprising a signal monitor to identify a signaling protocol from the network traffic and an artificial intelligence engine configured to receive signaling protocol sample data to train a signal artificial intelligence (AI) model and process the signaling protocol identified by the signal monitor in the signal AI model to identify the network traffic.

Claim (Index 1):
A voice over Internet protocol (VoIP) device for identifying network traffic, comprising:\n a signal monitor to identify a signaling protocol from the network traffic; and an artificial intelligence engine configured to:\n receive signaling protocol sample data to train a signal artificial intelligence (AI) model; and \n process the signaling protocol identified by the signal monitor in the signal artificial intelligence (AI) model to identify the network traffic in response to the training of the signal AI model improving at least a minimum threshold value in an error rate or probability in identifying a plurality of randomly selected signal protocol bit patterns.

Metadata:
- Claim Count in Document: 34.0
- Percentile: 94.0
- Lexical Diversity: 1.8125
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15629382', '15600421', '09724943', '14164446', '10041549']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5070750686647837
- 35 USC 102 Novelty (BERT): 0.4695581994730736
- Combined Prediction Score: 0.5033233817456128
- Mean Citation Score: 129.37183720000002
- Max Citation Score: 134.41414
- Similarity Product: 93.0982153085518

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