PATENT CLAIM ANALYSIS

Application Number: 16002987
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-11
Patent Classification: ["726", "026000"]

Abstract:
A method of and system for performing metadata tag compression in security policy enforcement system may comprise conveying a set of data elements, each with an associated metadata tag, from a first processor subsystem to a second processor subsystem. The first processor subsystem may be configured to process conventional tasks, the second processor configured to apply one or more policy decisions to the data element. The conveying may further comprise sending the set of data elements along with an index element that identifies one or more metadata tags, and sending one or more of the metadata tags identified by the index element.

Claim (Index 2):
A system for performing metadata tag compression in security policy enforcement system, comprising:\n a first processor subsystem configured to conduct conventional tasks; a second processor configured to apply one or more policy decisions to each of a set of data elements conveyed from the first processor to the second processor; a metadata tag compressor configured to:\n send the set of data elements along with an index element that identifies one or more metadata tags; and \n send only the one or more of the metadata tags identified by the index element.

Metadata:
- Claim Count in Document: 1.0
- Percentile: 94.0
- Lexical Diversity: 1.98182
- Patent Class: 726.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15624878', '15695541', '15426098', '16002957', '15168689']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4073018628239896
- 35 USC 102 Novelty (BERT): 0.5509519921996322
- Combined Prediction Score: 0.4216668757615539
- Mean Citation Score: 449.693358
- Max Citation Score: 456.70404
- Similarity Product: 321.79006260751254

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

Dataset: test