Invention Application
- Patent Title: SYSTEMS AND METHODS FOR AI/MACHINE LEARNING-BASED BLOCKCHAIN VALIDATION AND REMEDIATION
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Application No.: US17509479Application Date: 2021-10-25
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Publication No.: US20230127913A1Publication Date: 2023-04-27
- Inventor: Ahmed A. Khan , Mohammed A. Qaudeer , Abdul Raheem , Rasmi Ranjan Samal , Rangesh Sripathi
- Applicant: Verizon Patent and Licensing Inc.
- Applicant Address: US NJ Basking Ridge
- Assignee: Verizon Patent and Licensing Inc.
- Current Assignee: Verizon Patent and Licensing Inc.
- Current Assignee Address: US NJ Basking Ridge
- Main IPC: H04L9/32
- IPC: H04L9/32 ; H04L9/08 ; H04L9/14

Abstract:
A system described herein may utilize artificial intelligence/machine learning (“AI/ML”) or other suitable techniques to automatically identify blocks added to or proposed to be added to a blockchain, with conflicting and/or otherwise incompatible information, and to automatically remediate the blockchain based on the identified conflict and/or incompatibility. The model may associate different types of conflicts and/or incompatibilities with different types of remedial measures. The remedial measures may include the rejection of a proposed block, recording a new block that takes precedence or priority over a previously recorded block, or other suitable remedial measures.
Public/Granted literature
- US12088717B2 Systems and methods for AI/machine learning-based blockchain validation and remediation Public/Granted day:2024-09-10
Information query