PATENT CLAIM ANALYSIS

Application Number: 16403797
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-08
Patent Classification: ["726", "001000"]

Abstract:
An example method can include monitoring a network to identify flows between nodes in the network. Once flows have been identified, the flows can be tagged and labelled according to the type of traffic they represent. If a flow represents malicious or otherwise undesirable traffic, it can be tagged accordingly. A request can then be made for a reputation score of an entity which can identify one or more nodes of the network.

Claim (Index 15):
A system, comprising:\n a computer readable media storing instructions; a processor programmed to execute the instructions to perform operations comprising:\n identifying a type of traffic for one or more flows associated with one or more; \n determining a reputation score of one or more nodes based on the type of traffic through the one or more nodes; and \n blocking a node of the one or more nodes from sending traffic in response to the reputation score for that node being below a predetermined threshold; \n wherein the reputation score is calculated by:\n Reputation Score=\u03a3 i=1 n Value i +(Recovery i *[Time current \u2212Time i ]) \n where: \n n is the number of events identified during the identifying; \n Value i  is an initial relative impact of the type of traffic of an ith event on the reputation score, where Value i  is different for at least two different values of i; \n Recovery i  is a constant for the type of traffic of the ith event, wherein the Recovery for at least one event is non-zero, and the recovery for at least one other event is zero; \n Time current  is a time value based on a current time; \n Time i  is a time value based on a time of the ith event.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 1.51923
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15132086', '15045210', '15172274', '15145630', '15133155']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2636529726292274
- 35 USC 102 Novelty (BERT): 0.4995261879475625
- Combined Prediction Score: 0.2872402941610609
- Mean Citation Score: 171.998734
- Max Citation Score: 256.4628
- Similarity Product: 182.17701417102813

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