PATENT CLAIM ANALYSIS

Application Number: 16197275
Application Type: Utility
Filing Date: 2018-11
Publication Date: 2019-04
Patent Classification: ["713", "194000"]

Abstract:
A method includes dispersed storage error encoding a plurality of data segments to produce a plurality of sets of encoded data slices and dispersed storage error encoding auxiliary data to produce a set of encoded auxiliary data slices. The method further includes obfuscating a first set of encoded data slices of the plurality of sets of encoded data slices using at least one encoded auxiliary data slices of the set of encoded auxiliary data slices to produce a first set of obfuscated encoded data slices. The method further includes obfuscating a second set of encoded data slices of the plurality of sets of encoded data slices using at least one other encoded auxiliary data slice of the set of encoded auxiliary data slices to produce a second set of obfuscated encoded data slices. The method further includes outputting the first and second sets of obfuscated encoded data slices for storage.

Claim (Index 10):
The computing device of  claim 9 , wherein the processing module is further operable to:\n dispersed storage error encode the auxiliary data to produce a second set of encoded auxiliary data slices; obfuscate the first set of obfuscated encoded data slices using at least one encoded auxiliary data slices of the second set of encoded auxiliary data slices to produce a first set of further obfuscated encoded data slices; and obfuscate the second set of obfuscated encoded data slices using at least one other encoded auxiliary data slice of the second set of encoded auxiliary data slices to produce a second set of further obfuscated encoded data slices.

Metadata:
- Claim Count in Document: 7.0
- Percentile: 98.0
- Lexical Diversity: 4.27778
- Patent Class: 713.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12954884', '14452182', '12954880', '12954875', '13868311']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4983158515279306
- 35 USC 102 Novelty (BERT): 0.5441029362826395
- Combined Prediction Score: 0.5028945600034015
- Mean Citation Score: 374.55288
- Max Citation Score: 406.32553
- Similarity Product: 294.19570732438444

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

Dataset: test