PATENT CLAIM ANALYSIS

Application Number: 16200379
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-05
Patent Classification: ["379", "142050"]

Abstract:
Aspects of the invention determining a threat score of a call traversing a telecommunications network by leveraging the signaling used to originate, propagate and terminate the call. Outer-edge data utilized to originate the call may be analyzed against historical, or third party real-time data to determine the propensity of calls originating from those facilities to be categorized as a threat. Storing the outer edge data before the call is sent over the communications network permits such data to be preserved and not subjected to manipulations during traversal of the communications network. This allows identification of threat attempts based on the outer edge data from origination facilities, thereby allowing isolation of a compromised network facility that may or may not be known to be compromised by its respective network owner. Other aspects utilize inner edge data from an intermediate node of the communications network which may be analyzed against other inner edge data from other intermediate nodes and/or outer edge data.

Claim (Index 3):
The computer-implemented method of  claim 2 , wherein the inner edge data relates to the call when the call has partially traversed the telecommunications network.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 98.0
- Lexical Diversity: 1.90909
- Patent Class: 379.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15666917', '10002372', '12781801', '11433955', '10179613']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5621680920405545
- 35 USC 102 Novelty (BERT): 0.5664858888299917
- Combined Prediction Score: 0.5625998717194982
- Mean Citation Score: 266.91985000000005
- Max Citation Score: 483.98477
- Similarity Product: 369.4551158117181

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