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 8):
The method as recited in  claim 6 , wherein performing the log filtering process further comprises:\n determining if the fifth set is empty; in response to determining that the fifth set is empty:\n updating the third set by subtracting the fourth set from the third set; \n in response to determining that the updated third set is empty, outputting the second set; and \n in response to determining that the updated third set includes at least one log, updating the fourth set by sampling the updated third set, and updating the fifth set by performing automatic pattern recognition using the updated fourth set; and \n in response to determining that the fifth set includes at least one log pattern:\n updating the second set by adding the fifth set to the second set; \n updating the third set with logs identified in the third set that lack a matching pattern in the second set; \n in response to determining that the updated third set is empty, outputting the updated second set; and \n in response to determining that the updated third set includes at least one log, updating the fourth set by sampling the updated third set, and updating the fifth set by performing automatic pattern recognition using the updated fourth 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): 0.2458050929920626
- 35 USC 102 Novelty (BERT): 0.4915899687833474
- Combined Prediction Score: 0.2703835805711911
- Mean Citation Score: 154.601926
- Max Citation Score: 163.39908
- Similarity Product: 107.8098840021944

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