PATENT CLAIM ANALYSIS

Application Number: 16052464
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-12
Patent Classification: ["726", "026000"]

Abstract:
Systems and methods for preprocessing data to facilitate DLP pattern matching are provided. An input string is received by a Data Leak Prevention (DLP) system. The input string is converted by the DLP system into a fixed string pattern. The conversion is performed based on one or more of multiple class definitions, including a digit class, a letter class and a symbol class. A determination is then made by the DLP system regarding whether the input string contains potential sensitive data to which a full-match is to be applied by matching the fixed string pattern against one or more stored target strings representative of sensitive data.

Claim (Index 5):
The method of  claim 2 , wherein the type of potential sensitive data to be detected comprises a telephone number and wherein the generalized form comprises (D 1 D 2 D 3 )D 1 D 2 D 3 D-D 1 D 2 D 3 D 4 , D 1 D 2 D 3 .D 1 D 2 D 3 .D 1 D 2 D 3 D 4  or D 1 D 2 D 3 -D 1 D 2 D 3 -D 1 D 2 D 3 D 4 ;\n wherein D 1  comprises a first replacement character from the digit class; wherein D 2  comprises a second replacement character from the digit class that sequentially follows the first replacement character in the digit class; wherein D 3  comprises a third replacement character from the digit class that sequentially follows the second replacement character in the digit class; and wherein D 4  comprises a forth replacement character from the digit class that sequentially follows the third replacement character in the digit class.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 96.0
- Lexical Diversity: 1.74242
- Patent Class: 726.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14981528', '14791363', '15236418', '14496355', '15695654']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.2411230439803923
- 35 USC 102 Novelty (BERT): 0.5296974153624023
- Combined Prediction Score: 0.2699804811185933
- Mean Citation Score: 190.024546
- Max Citation Score: 335.68958
- Similarity Product: 261.45449690529347

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