Vehicle Software Hash Chain Verification for Tamper Detection
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Solution Overview
Problem
Existing software verification techniques for vehicles are inefficient, time-intensive, and ill-suited for verifying numerous vehicle configurations, especially during peak times, and are vulnerable to cyber-attacks that can compromise critical vehicle operations.
Innovation Solution
A system using cryptographic hash chains and block-chain data storage to verify vehicle software configurations, ensuring integrity by generating and storing hash values of trusted configurations, and transmitting these values across a distributed network for validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional centralized verification techniques are used to verify vehicle software configurations, then verification can be performed, but processing delays occur during peak times and the system is vulnerable to cyber-attacks
Solution Approach 1:
The patent segments the centralized verification system into distributed verification nodes across a blockchain network. Each node independently verifies software configurations, eliminating the single-point bottleneck of centralized systems. This segmentation enables parallel verification processing, significantly reducing verification time during peak periods while maintaining reliability through distributed consensus.
Solution Approach 2:
The patent introduces blockchain as an intermediary layer between vehicle software and verification authorities. The blockchain network mediates the verification process by providing a decentralized, tamper-resistant ledger that records and validates software configuration hashes. This intermediary enables trustless verification without requiring direct communication between all parties, reducing processing delays and enhancing security against cyber-attacks.
2Reliability
If manual software verification techniques are used, then verification can be performed, but the process becomes manually intensive and time-consuming
Solution Approach 1:
The patent implements self-service verification where the blockchain network automatically performs software configuration verification without human intervention. Smart contracts encode verification logic that autonomously compares software hashes against recorded values, eliminates manual verification steps, and provides automatic validation results. This automation dramatically increases verification throughput while maintaining high reliability through cryptographic proof.
Solution Approach 2:
The patent replaces manual mechanical verification processes with automated cryptographic verification. Instead of human operators manually checking software configurations, the system uses cryptographic hash functions and blockchain consensus mechanisms to automatically verify software integrity. This substitution of mechanical human processes with automated computational processes dramatically increases verification productivity while maintaining or improving reliability.
3Ease of operation
If existing verification techniques are used, then verification can be performed, but the system is vulnerable to cyber-attacks that can compromise critical vehicle operations
Solution Approach 1:
The patent implements beforehand cushioning by pre-recording software configuration hashes in the blockchain before potential cyber-attacks occur. The system proactively establishes a trusted baseline of legitimate software configurations through cryptographic hashing and blockchain immutability. This preparatory measure cushions the system against future attacks by providing a pre-established reference for detecting unauthorized modifications, maintaining operational simplicity while enhancing security.
Solution Approach 2:
The patent converts the potential harm of cyber-attacks into a benefit by using cryptographic hashing to detect and prevent unauthorized modifications. The immutable nature of blockchain transforms the system into one where any attempted tampering automatically generates detectable anomalies. This approach converts the vulnerability to manual verification into a strength, where automated cryptographic verification makes the system resistant to cyber-attacks while maintaining ease of operation through automated processes.
Data Source
AI summary
In one aspect, a computer system for vehicle configuration verification, and/or detecting unauthorized vehicle modification may be provided. In some exemplary embodiments, the computer system may include a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (1) receiving a vehicle image, including a vehicle identifier and at least one software module; (2) calculating a configuration hash value of the at least one software module; generating a first data block including the configuration hash value, a first index value, the vehicle identifier, and a digital signature; (3) storing the first data block in a memory; and/or (4) transmitting the first data block to any number of network participants using a distributed network to facilitate vehicle software configuration verification.