PATENT CLAIM ANALYSIS

Application Number: 15863257
Application Type: Utility
Filing Date: 2018-01
Publication Date: 2018-05
Patent Classification: ["726", "023000"]

Abstract:
In one embodiment, a traffic model manager node receives data flows in a network and determines a degree to which the received data flows conform to one or more traffic models classifying particular types of data flows as non-malicious. If the degree to which the received data flows conform to the one or more traffic models is sufficient, the traffic model manager node characterizes the received data flows as non-malicious. Otherwise, the traffic model manager node provides the received data flows to a denial of service (DoS) attack detector in the network to allow the received data flows to be scanned for potential attacks.

Claim (Index 4):
The method as in  claim 1 , wherein whether the degree to which the received data flow conforms to the one or more traffic models is sufficient is dependent on a determination made by a machine learning classifier.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 86.0
- Lexical Diversity: 2.19608
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14338582', '14338526', '11938356', '14338794', '14338653']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2834225302994684
- 35 USC 102 Novelty (BERT): 0.5200161356887391
- Combined Prediction Score: 0.3070818908383955
- Mean Citation Score: 196.397322
- Max Citation Score: 337.69824
- Similarity Product: 334.40497476808554

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