Blockchain Security Platform for Multi-Component System Integrity
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Solution Overview
Problem
Centralized databases are vulnerable to single-point failures, network connectivity issues, and data redundancy challenges, making them inadequate for securing complex systems with diverse technologies like IoT devices and services.
Innovation Solution
A decentralized blockchain-based security platform that stores state information of system components in a hash-linked chain of data blocks, allowing for secure registration, verification, and management of digital representations of components through smart contracts, ensuring data integrity and immutability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a centralized database is used to store system data, then data management is simple and control is centralized, but the system has a single point of failure and data redundancy is minimal
Solution Approach 1:
The patent segments the centralized database into a distributed network of nodes, where each node stores a copy of the blockchain ledger. This segmentation eliminates the single point of failure by distributing data across multiple independent locations, thereby improving system reliability while maintaining manageable data structures through the blockchain's organized block-chain architecture.
Solution Approach 2:
The patent changes the fundamental parameter of data storage from centralized to decentralized architecture. By implementing a blockchain-based distributed ledger where data is replicated across multiple nodes rather than stored in a single location, the system achieves both improved reliability through redundancy and maintained operational simplicity through automated consensus mechanisms.
2Ease of operation
If a centralized database is used, then data access control is straightforward, but network connectivity dependency increases and access time increases with slower connections
Solution Approach 1:
The patent segments data access operations by allowing local nodes to store and process data locally while maintaining synchronization with the distributed ledger. This enables faster local access times while preserving centralized control through the consensus mechanism that validates and propagates data changes across the network, reducing dependency on continuous network connectivity for basic operations.
3Quantity of substance
If a centralized database is used, then data redundancy is minimized, but data loss recovery is difficult and requires manual operation from back-up storage
Solution Approach 1:
The patent fundamentally changes the data redundancy parameter from minimal (centralized) to high (distributed across multiple nodes). Each node in the blockchain network maintains a complete copy of the ledger, providing automatic redundancy. This eliminates the need for manual backup operations and enables automatic data recovery through the distributed network, as any node can restore data if another node fails.
4Ease of operation
If a centralized database is used, then security control is centralized, but the system is vulnerable to attacks and lacks fault tolerance
Solution Approach 1:
The patent segments security control from a single centralized authority into a distributed consensus mechanism across multiple nodes. Each node independently validates and secures the data, creating a network-level security architecture that is resistant to attacks. The cryptographic hashing and distributed validation provide fault tolerance, as the system can withstand attacks on individual nodes without compromising overall security or data integrity.
Data Source
AI summary
An example operation may include one or more of storing state information of a system component via a data block included among a hash-linked chain of data blocks of a blockchain, the state information identifying operating features of the system component at a first point in time, receiving, from the system component, re-computed state information of the system component captured at a second point in time that is subsequent to the first point in time, determining an integrity of the system component based on the re-computed state information and the previously stored state information of the system component stored among the hash-linked chain of data blocks, and transmitting information about the determined integrity to a computing system associated with the system component.