PATENT CLAIM ANALYSIS

Application Number: 15978150
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2019-04
Patent Classification: ["726", "023000"]

Abstract:
Embodiments presented herein describe a method for processing streams of data of one or more networked computer systems. According to one embodiment of the present disclosure, an ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network is received. A neuro-linguistic model of the information security data is generated by clustering the ordered stream of vectors and assigning a letter to each cluster, outputting an ordered sequence of letters based on a mapping of the ordered stream of normalized vectors to the clusters, building a dictionary of words from of the ordered output of letters, outputting an ordered stream of words based on the ordered output of letters, and generating a plurality of phrases based on the ordered output of words.

Claim (Index 14):
A system, comprising:\n a processor; and a memory storing instructions executable by the processor to:\n receive, at the processor, a first ordered stream of normalized vectors corresponding to information security data obtained from one or more sensors monitoring a computer network; \n generate a stable neuro-linguistic model by:\n clustering the first ordered stream of normalized vectors to form a plurality of clusters, \n assigning a letter to each cluster from the plurality of clusters, \n outputting an ordered sequence of letters based on the clustering, \n building a dictionary of words from the ordered sequence of letters, \n outputting an ordered stream of words based on the ordered sequence of letters, and \n generating a plurality of phrases based on the ordered stream of words; \n \n receive a second ordered stream of normalized vectors; and \n issue an alert based on the stable neuro-linguistic model and the second ordered stream of normalized vectors.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 93.0
- Lexical Diversity: 2.13846
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14457060', '15363871', '15469568', '14457082', '14569161']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2919085650564544
- 35 USC 102 Novelty (BERT): 0.5778521851010118
- Combined Prediction Score: 0.3205029270609101
- Mean Citation Score: 377.399056
- Max Citation Score: 461.7794
- Similarity Product: 440.9430598343492

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

Dataset: test