Decentralized Object Validation With Rotating-Code IoT Proofs
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Solution Overview
Problem
Conventional IoT devices face challenges with limited bandwidth, high power consumption, and high cost, and lack proof of connectivity and validation for digital information and objects, especially in decentralized networks.
Innovation Solution
A device for object validation includes data processing hardware and memory hardware that generates a rotating code, computes a proof using an object identifier, and stores or verifies a hash or non-fungible token (NFT) proof on a network-accessible storage, utilizing a decentralized network architecture with edge devices and relay servers for connectivity and validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional IoT devices use centralized network architecture, then connectivity and data transmission are simplified, but power consumption increases and bandwidth is limited
Solution Approach 1:
The patent segments the centralized network architecture into distributed edge devices that independently perform validation functions. Each edge device generates and verifies proofs locally, dividing the validation workload across multiple nodes rather than concentrating it in a central server, thereby reducing power consumption and bandwidth requirements while maintaining security.
Solution Approach 2:
The patent introduces a new dimension of cryptographic proof validation into the IoT network architecture. By adding proof generation, hashing, and verification mechanisms across distributed devices, the system transforms from a simple centralized model to a multi-dimensional decentralized architecture that simultaneously reduces energy consumption and enhances security.
2Reliability
If digital objects are transmitted without validation, then data transmission is fast and simple, but authenticity and connectivity proof are lacking
Solution Approach 1:
The patent applies preliminary action by generating cryptographic proofs and hashing data before transmission occurs. Edge devices prepare validation evidence in advance, creating digital signatures and proof tokens that accompany data objects, ensuring authenticity is established prior to transmission rather than requiring complex post-transmission verification.
Solution Approach 2:
The patent uses copying by creating cryptographic hash copies of original data objects. Instead of transmitting and validating entire data sets, the system generates compact hash representations that serve as verified copies, enabling efficient authentication without the complexity of full data verification while maintaining reliability.
3Reliability
If decentralized validation is implemented, then security and authenticity are enhanced, but computational overhead and processing time increase
Solution Approach 1:
The patent extracts the essential validation elements from complex decentralized computation by isolating key cryptographic operations. Edge devices perform only critical proof generation and hashing functions, while relying on shared validation protocols and pre-computed reference data, thereby maintaining high security without the full computational overhead of complete decentralized processing.
Solution Approach 2:
The patent applies parameter changes by optimizing cryptographic algorithm parameters for edge device capabilities. By adjusting hash function parameters, proof generation complexity, and validation thresholds to match edge device computational power, the system achieves strong security validation while maintaining processing efficiency and avoiding excessive computational overhead.
Data Source
AI summary
Technology is provided for object validation. A device for object validation may include data processing hardware, and memory hardware in communication with the data processing hardware. The memory hardware may storing instructions that when executed on the data processing hardware may cause the data processing hardware to perform operations including generating a rotating code by combining a private key with metadata. The operations may include computing a proof using the rotating code and an object identifier for an object. The operations may include generating a hash of the proof and the metadata. The operations may include storing the hash in a network-accessible storage device.