PATENT CLAIM ANALYSIS

Application Number: 15889733
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-09
Patent Classification: ["726", "023000"]

Abstract:
A method for implementing automatic and scalable log pattern learning in security log analysis is provided. The method includes collecting security logs generated by a computer system. An incremental learning process is implemented to generate a set of log patterns from the collected security logs. The collected security logs are parsed using the set of log patterns.

Claim (Index 14):
The computer program product as recited in  claim 13 , wherein implementing the incremental learning process to generate the set of log patterns further comprises:\n defining a first set as the training set, a second set as a set of log patterns that have been generated, and a third set as a set of logs of the training set that lack a matching pattern in the second set; sampling the third set to generate a fourth set having a size corresponding to a parameter controlling a maximum resource requirement for the incremental learning process; performing automatic log pattern recognition to generate a fifth set; and performing a log filtering process based on the fifth set.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 1.525
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14846093', '15352546', '15594049', '15571934', '15799458']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2463035601746858
- 35 USC 102 Novelty (BERT): 0.4890454229531572
- Combined Prediction Score: 0.2705777464525329
- Mean Citation Score: 154.601926
- Max Citation Score: 163.39908
- Similarity Product: 110.37747703190088

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