PATENT CLAIM ANALYSIS

Application Number: 16186807
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-03
Patent Classification: ["726", "023000"]

Abstract:
A method and apparatus for detecting covert routing is disclosed. In the method and apparatus, data addressed to a remote computer system are forwarded over a first network path, whereby the data is associated with a computer system of a plurality of computer systems. Further, a plurality of first network performance metrics is obtained. A likelihood of covert routing is determined based at least in part on the plurality of first network performance metrics.

Claim (Index 10):
The system of  claim 7 , wherein the first data was transmitted along a network path and the instructions to determine the second information that indicates whether at least the portion of the first data was transmitted to the second network destination includes instructions that, if executed, cause the one or more processors to:\n obtain a plurality of individual latencies for responses to the data sent along the network path; determine a score based at least in part on comparing the plurality of individual latencies with a threshold latency; and determine, further based at least in part on the score, whether at least the portion of the first data was transmitted to the second network destination.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 98.0
- Lexical Diversity: 1.8
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15344396', '14164022', '14163997', '13150724', '14310916']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2674113993887761
- 35 USC 102 Novelty (BERT): 0.4739786791949953
- Combined Prediction Score: 0.2880681273693981
- Mean Citation Score: 156.39181200000004
- Max Citation Score: 212.40695
- Similarity Product: 184.4907539929688

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

Dataset: test