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 13):
A non-transitory computer-readable storage medium comprising executable instructions that, as a result of execution by one or more processors of a computer system, cause the computer system to at least:\n obtain a first information that indicates a difference in latency between a response to a first data and a response to a second data, wherein the first and second data are transmitted to a first network destination; determine, based at least in part on the first information, a second information that indicates whether at least a portion of the first data was transmitted to a second network destination; and determine, based at least in part on the second information, a routing for a data transmission.

Metadata:
- Claim Count in Document: 23.0
- Percentile: 98.0
- Lexical Diversity: 1.8
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15344396', '14164022', '14163997', '13150724', '14310916']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2443285803781089
- 35 USC 102 Novelty (BERT): 0.4741408978383815
- Combined Prediction Score: 0.2673098121241362
- Mean Citation Score: 156.39181200000004
- Max Citation Score: 212.40695
- Similarity Product: 180.27320666928887

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

Dataset: test