PATENT CLAIM ANALYSIS

Application Number: 16029238
Application Type: Utility
Filing Date: 2018-07
Publication Date: 2019-01
Patent Classification: ["705", "050000"]

Abstract:
The disclosure herein relates to systems, methods, and devices for reducing and/or eliminating data leakage in electronic ledger technologies, such as centralized ledger, distributed ledger technology (DLT) or blockchain-based platforms, for trustless order matching. In particular, in some embodiments, the systems, methods, and devices described herein utilize cryptographic commitments to assign priorities to orders without disclosing the contents of the actual order or plaintext data. In some embodiments, the plaintext data is revealed only after the priorities are assigned to the cryptographic commitments, thereby reducing and/or eliminating potential data leakage that can arise in such electronic ledger platforms or networks. Further, in some embodiments, the subsequently revealed plaintext data can be used to regenerate the cryptographic commitment to verify its correlation. As such, some systems, methods, and devices described herein can provide a trustless order matching system for electronic ledger technologies, such as DLT or blockchain-based platforms.

Claim (Index 12):
The system of  claim 1 , wherein the cryptographic hash commitment is configured to be signed digitally by the user.

Metadata:
- Claim Count in Document: 59.0
- Percentile: 95.0
- Lexical Diversity: 2.19231
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15078768', '16024904', '15608839', '15582122', '15243473']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1191863446664179
- 35 USC 102 Novelty (BERT): 0.4748006855997754
- Combined Prediction Score: 0.1547477787597537
- Mean Citation Score: 177.468296
- Max Citation Score: 190.7088
- Similarity Product: 147.33787816658017

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

Dataset: test