PATENT CLAIM ANALYSIS

Application Number: 15899626
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-07
Patent Classification: ["714", "764000"]

Abstract:
A method includes retrieving a read threshold number of integrity check value list (ICVL) encoded data slices of a set of ICVL encoded data slices. The method further includes determining whether an appended ICVL of each ICVL encoded data slice of the read threshold number of ICVL encoded data slices substantially match. When the appended ICVL of one of the ICVL encoded does not substantially match the appended ICVL of other ICVL encoded data slices, the method further includes determining a likely cause for the mismatch. When the likely cause is missing a revision update, the method further includes initiate rebuilding of the encoded data slice portion. The method further includes generating an integrity check value for the rebuilt encoded data slice and updating the integrity check value list. The method further includes appending the updated integrity check value list to the rebuilt encoded data slice.

Claim (Index 16):
The method of  claim 15  further comprising:\n based on determination that the likely cause is not the inaccurate ICVL appended to the one of the ICVL EDSs and also is not missing a revision update, taking at least one corrective measure for an unauthorized modification that includes at least one of sending a delete message to a SU storing the one of the ICVL EDSs, initiating a rebuild process, or initiating at least one of a decommissioning of the SU, a quarantine of the SU, or a higher level of security regarding access to the SU.

Metadata:
- Claim Count in Document: 25.0
- Percentile: 88.0
- Lexical Diversity: 2.78571
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15357293', '15842560', '15840397', '15363622', '15212666']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3010367228542462
- 35 USC 102 Novelty (BERT): 0.544862807282141
- Combined Prediction Score: 0.3254193312970357
- Mean Citation Score: 330.6532880000001
- Max Citation Score: 410.32236
- Similarity Product: 293.41178175056217

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