Blockchain Platooning Vehicle Data Security
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Solution Overview
Problem
Current autonomous vehicle systems lack effective methods for ensuring data security and detecting external hacking, particularly in platooning scenarios, where data modulation and hacking can lead to safety risks.
Innovation Solution
A blockchain-based method for controlling platooning vehicles that involves acquiring driving data, creating a routing table, forming a blockchain network, and identifying modulated data by comparing hash values, enabling secure data sharing and detection of hacked vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If blockchain-based data sharing is implemented among platooning vehicles, then data security and integrity are improved, but system complexity and computational overhead increase
Solution Approach 1:
The system divides the platooning network into multiple blockchain nodes (vehicles), with each vehicle independently maintaining and validating blockchain data. This segmentation distributes the computational burden across multiple vehicles rather than requiring a centralized authority, improving both security through decentralization and managing complexity through modular node operations.
Solution Approach 2:
The system pre-establishes blockchain agreements and routing tables before data transmission occurs. By preparing the blockchain structure and validation rules in advance, the system reduces real-time computational complexity during actual data sharing operations while maintaining high security standards through pre-configured cryptographic protocols.
2Measurement precision
If hash value comparison is performed for every data block, then detection precision of modulated data is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies hash value comparison selectively to specific data blocks based on their importance and susceptibility to modulation. Critical safety-related data blocks undergo full hash verification, while less critical blocks use simplified validation. This localized approach maintains high detection precision for essential data while reducing overall processing time.
Solution Approach 2:
The system implements rapid hash comparison techniques that can quickly skip validation of obviously intact blocks while focusing computational resources on blocks that show signs of potential modulation. This allows the system to maintain high detection precision for suspicious data while rushing through verification of clearly valid blocks to minimize overall processing time.
3Adaptability or versatility
If routing tables are dynamically created based on staying time, then adaptability to platoon configuration changes is improved, but computational overhead and communication load increase
Solution Approach 1:
The system updates routing tables periodically based on staying time thresholds rather than continuously responding to every configuration change. This periodic update mechanism maintains adaptability to platoon reconfigurations while significantly reducing computational overhead by only recalculating routes when necessary, rather than continuously monitoring and adjusting to minor fluctuations.
Solution Approach 2:
The system creates simplified copies of routing information that can be quickly distributed to vehicles without requiring full recalculation of optimal paths. These routing table copies maintain essential adaptability for local decisions while reducing the computational burden of generating and distributing complete routing solutions, thereby lowering energy consumption.
4Reliability
If encrypted data transmission is implemented for all vehicles, then data security is improved, but communication bandwidth and processing speed decrease
Solution Approach 1:
The system applies encryption selectively to specific data blocks based on their sensitivity and security requirements. Critical data such as safety information and control commands undergo full encryption, while less sensitive data uses lighter protection mechanisms. This localized encryption approach maintains high security for essential data while preserving communication speed for non-critical information.
Solution Approach 2:
The system dynamically adjusts encryption parameters such as key length and algorithm complexity based on data sensitivity, vehicle trust levels, and current communication conditions. This allows the system to maintain strong security for high-priority data while using lighter encryption for routine communications, thereby optimizing the balance between security and communication speed.
Data Source
AI summary
Provided are a method for controlling a platooning vehicle based on a blockchain and a platooning vehicle constituting the blockchain. According to a method for controlling a platooning vehicle based on a blockchain according to an embodiment of the present disclosure, it is possible to identify the blockchain data being modulated by comparing a hash value of second block with hash values of the first and third blocks in response to the execution of blockchain agreements. An autonomous vehicle according to the present disclosure may be linked with an artificial intelligence module, a drone (unmanned aerial vehicle (UAV)), a robot, an augmented reality (AR) device, a virtual reality (VR) device, devices related to 5G services, and the like.