PATENT CLAIM ANALYSIS

Application Number: 15889176
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-06
Patent Classification: ["726", "026000"]

Abstract:
Embodiments include a method for data masking such as receiving, by a first data masking component, data including unmasked data for a first attribute, the first data masking component including a data set and a masking algorithm; generating, by the first data masking component, masked attribute data for the first attribute by applying the masking algorithm to the unmasked data associated with the first attribute using the data set; and replacing, by the first data masking component, the data for the first attribute in the first data with the masked attribute data.

Claim (Index 1):
A method for data masking, comprising:\n receiving, by a data masking component computer system, a data set including unmasked data for a first and second attributes, the data masking component including a data set of indexed values and a first data masking method and a second data masking method; splitting the unmasked data into a first unmasked subset based on a first subset field definition and a second unmasked subset based on a second subset field definition; generating parallelly, by the data masking component computer system, (a) a first masked subset for a first attribute for the first unmasked subset, by applying the first masking method to the unmasked data for the first attribute using the data set of indexed values; (b) a second masked subset for a second attribute for the second unmasked subset, by applying the second masking method to the unmasked data for the second attribute using the data set of indexed values; and merging the first masked subset with the second masked subset.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 88.0
- Lexical Diversity: 3.1875
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12030695', '11273449', '13777355', '11942081', '13923609']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2670725924918334
- 35 USC 102 Novelty (BERT): 0.4781191214278787
- Combined Prediction Score: 0.288177245385438
- Mean Citation Score: 171.78754199999997
- Max Citation Score: 179.77518999999995
- Similarity Product: 128.04194201926109

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