PATENT CLAIM ANALYSIS

Application Number: 16046528
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-06
Patent Classification: ["726", "023000"]

Abstract:
Systems, methods, and media for detecting network anomalies are provided. In some embodiments, a training dataset of communication protocol messages having argument strings is received. The content and structure associated with each of the argument strings is determined and a probabilistic model is trained using the determined content and structure of each of the argument strings. A communication protocol message having an argument string that is transmitted from a first processor to a second processor across a computer network is received. The received communication protocol message is compared to the probabilistic model and then it is determined whether the communication protocol message is anomalous.

Claim (Index 10):
The method of  claim 2 , wherein the predetermined action comprises issuing an alert.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 95.0
- Lexical Diversity: 1.96491
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14982888', '14476142', '12994550', '15346005', '13769774']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3319056430364799
- 35 USC 102 Novelty (BERT): 0.5582287390208115
- Combined Prediction Score: 0.3545379526349131
- Mean Citation Score: 340.766096
- Max Citation Score: 465.0124
- Similarity Product: 328.9673831219196

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