Peer-Validated Geospatial Tracking with Encrypted Proof of Reception
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Solution Overview
Problem
Existing tracking systems for transportation vehicles face challenges such as high costs, vulnerability to hacking and spoofing, privacy concerns, and inefficiencies in validating real-time geodata, leading to errors in automated systems and lack of standardized peer consensus for validating regulatory broadcasts.
Innovation Solution
A decentralized network of software defined radios and neuromorphic processors forms mining devices that encrypt and validate position and time data from transportation vehicles, using homomorphic encryption and peer consensus to ensure data integrity and publish to a public ledger, while employing Proof of Reception to enhance validation mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If centralized tracking websites collect and store geodata from multiple sources, then real-time monitoring capability is improved, but vulnerability to hacking attacks and denial of service increases
Solution Approach 1:
The system segments the centralized tracking website into a decentralized network of independent mining devices distributed across multiple locations. Each device independently collects and validates geodata, eliminating the single point of failure vulnerability. The segmentation transforms the monolithic centralized architecture into a distributed peer-to-peer network where no single node controls all data.
Solution Approach 2:
The patent introduces blockchain technology as an intermediary layer between data collection and storage. The blockchain ledger acts as a trusted mediator that validates and records geodata from multiple sources without requiring a centralized authority. This intermediary mechanism provides cryptographic verification and immutability, protecting against hacking and denial of service attacks while maintaining real-time monitoring capabilities.
2Loss of information
If tracking systems use obfuscated data such as dynamic HEX-ID and FAA LADD program, then privacy protection is improved, but automated systems calibration accuracy deteriorates
Solution Approach 1:
The system implements feedback mechanisms where mining devices continuously validate geodata against multiple sources and apply calibration algorithms. The blockchain ledger provides feedback loops that allow automated systems to learn from validated data patterns while preserving privacy through cryptographic methods. This feedback enables progressive calibration improvement without requiring access to unobfuscated raw data.
Solution Approach 2:
The patent transforms the data representation parameters by using cryptographic hashing and encoding schemes. Instead of storing or transmitting raw obfuscated identifiers, the system uses cryptographic parameters that maintain privacy while enabling verification. The parameter transformation allows automated systems to work with encrypted representations that preserve calibration accuracy through mathematical properties of the encryption schemes.
3Reliability
If decentralized network of mining devices is implemented, then resistance to hacking and spoofing is improved, but device complexity and validation mechanism complexity increases
Solution Approach 1:
The decentralized network implements self-service validation where each mining device independently verifies geodata using standardized cryptographic protocols. The blockchain ledger provides self-validating smart contracts that automatically verify data authenticity without requiring complex external validation mechanisms. This self-service approach distributes the validation burden across all nodes, reducing the complexity burden on any single device while maintaining high security.
Solution Approach 2:
The patent employs universal cryptographic validation protocols that can be implemented across diverse mining devices with different hardware capabilities. The standardized blockchain validation mechanism serves multiple functions: data verification, timestamp validation, consensus achievement, and immutability guarantee. This multi-functionality reduces overall system complexity by using a single versatile validation framework rather than device-specific complex validation mechanisms.
4Loss of information
If homomorphic encryption is used to encrypt position and time data, then privacy preservation is improved, but computational processing complexity increases
Solution Approach 1:
The system replaces traditional decryption-based processing with homomorphic encryption operations. Instead of decrypting data to process it, the blockchain validation mechanism performs cryptographic operations directly on encrypted data. This substitution eliminates the need for complex key management and decryption/encryption cycles, reducing computational overhead while maintaining privacy. The homomorphic properties allow validation operations to be performed on ciphertext without exposing plaintext.
Data Source
AI summary
Described herein are systems and methods for validating received encrypted first data including position data and time data for a transportation vehicle. The system receives or accesses second data including second position and second time data of the transportation vehicle. The system determines a validity of the first data by performing operations on the encrypted first data or the encrypted first data and the second data to compare the encrypted first data and the second data. The system assigns a consensus score to the mining device based part on the comparison, and applies a signature function to the encrypted first position and first time data. The system then publishes the encrypted signed valid first position and first time data to a public transportation vehicle ledger.