Decentralized Network Transparency for Remote Device Operations
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Solution Overview
Problem
Existing data processing systems lack transparency and veracity in remote device operations, particularly in decentralized networks, where data manipulation and fraud can occur, especially in scenarios like temperature sensors, air quality monitoring, and access control systems.
Innovation Solution
Implementing decentralized networks with asymmetric threshold encryption and consensus algorithms, such as proof-of-stake, to ensure secure and transparent data verification and authentication, using a distributed ledger like blockchain to create a permanent public record of transactions and outputs, and employing k-of-n threshold encryption to require multiple honest participants for decryption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If decentralized networks are used for remote device operation, then transparency and data integrity are improved, but system complexity and computational overhead increase
Solution Approach 1:
The system segments the decentralized network into distinct functional components: remote devices generate data, edge nodes perform initial verification, consensus nodes validate transactions, and the distributed ledger stores records. This segmentation manages complexity by distributing specific functions across different node types rather than requiring all nodes to perform all functions.
Solution Approach 2:
The patent introduces intermediary components including edge computing nodes that act as intermediaries between remote devices and the blockchain network, and smart contracts that automatically mediate verification and consensus processes. These intermediaries handle complex cryptographic operations and consensus algorithms, shielding end users from the underlying complexity while maintaining data integrity.
2Reliability
If multiple nodes are required for decryption verification, then security against fraud is improved, but operational speed and efficiency decrease
Solution Approach 1:
The system implements k-of-n threshold decryption where only a subset k of n total nodes needs to participate in the decryption process. This partial action approach maintains security by requiring multiple nodes while improving efficiency by not requiring all nodes to be involved in every decryption operation. The threshold k is carefully chosen to balance security requirements with operational speed.
Solution Approach 2:
The patent employs preliminary actions through pre-established threshold cryptographic key pairs and pre-configured smart contracts that define decryption requirements. Nodes pre-compute their decryption shares and store them securely, so when decryption is needed, the process is already optimized and ready to execute quickly with minimal coordination overhead.
3Loss of information
If distributed ledger technology is implemented, then transparency and auditability are improved, but data storage requirements and network bandwidth consumption increase
Solution Approach 1:
The patent extracts only the essential and immutable data elements onto the distributed ledger, such as transaction hashes, consensus timestamps, and verification signatures. Detailed operational data and raw sensor readings remain stored locally or in centralized databases, with only cryptographic proofs and summary information committed to the blockchain. This selective extraction maintains transparency and auditability while significantly reducing storage requirements.
Solution Approach 2:
Instead of storing complete data sets across all nodes, the system uses cryptographic hashing to create compact copies or representations of data. Each node stores hash values and verification metadata rather than full data replicas, enabling transparent verification of data integrity without the storage overhead of duplicating entire data sets across the distributed network.
Data Source
AI summary
Systems and methods are disclosed for using decentralized networks to ensure transparency in remote device operation. In one implementation, outputs are received from a sensor and encrypted using a public cryptographic key. The encrypted outputs are transmitted to nodes within a decentralized network. At least one of the nodes within the decentralized network receives the encrypted outputs and decrypts the received encrypted outputs using a share of a network key.