Blockchain Intelligence System for Secure Data Normalization
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Solution Overview
Problem
Commercial organizations face challenges in strategic decision-making due to isolated 'silos' within internal business units, leading to inefficiencies in information flow and relevance, which hampers agility and rapid risk assessment.
Innovation Solution
A system that integrates blockchain with intelligence data sharing, utilizing a server suite to authenticate and normalize data sources, generate recommendations, and produce actionable intelligence reports through Natural Language Processing and Machine Learning, enhancing collaboration and threat analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If data is shared across isolated business unit silos, then information flow and collaboration improve, but data security and authentication complexity increase
Solution Approach 1:
The patent introduces a blockchain-based distributed ledger as an intermediary layer between business units. This mediator enables secure data sharing by providing automated authentication and verification mechanisms, eliminating the need for complex centralized authentication systems while maintaining data security across organizational silos.
Solution Approach 2:
The blockchain platform serves multiple functions simultaneously: it acts as a authentication system, a data verification mechanism, a collaboration enabler, and a security layer. This multi-functionality resolves the contradiction by providing comprehensive data sharing capabilities without requiring separate complex systems for each function.
2Productivity
If traditional siloed structures are maintained, then data security is easier to manage, but strategic decision-making speed and agility deteriorate
Solution Approach 1:
The system implements self-service authentication and verification mechanisms through smart contracts on the blockchain. Data sources automatically authenticate themselves and verify data integrity without requiring manual security management, enabling rapid decision-making while maintaining robust security through automated trust verification.
3Loss of time
If manual data normalization and authentication processes are used, then system complexity is reduced, but processing time and efficiency increase
Solution Approach 1:
The patent replaces manual mechanical processes (manual data normalization and authentication) with automated computational processes. Machine learning algorithms automatically normalize data from diverse sources, while blockchain smart contracts automatically verify data integrity and authenticate sources, dramatically reducing processing time despite increased system complexity.
4Measurement precision
If comprehensive data collection from multiple sources is implemented, then intelligence quality improves, but data verification and authentication difficulty increase
Solution Approach 1:
The blockchain system implements continuous feedback loops where data from multiple sources is constantly verified against the distributed ledger. Each data submission triggers automated verification processes that provide immediate feedback on data integrity, enabling high-quality intelligence collection while simplifying verification through systematic automated checks.
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a device that includes a processing system including a processor, and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, where the operations include receiving intelligence requirements from sources authenticated through a blockchain distributed ledger, normalizing data received by the sources, wherein the normalized data complies with the intelligence requirements, and generating a recommendation or course of action based on the normalized data. Other embodiments are disclosed.