Geotagged Data Security in Autonomous Vehicle Networks
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Solution Overview
Problem
Current peer-to-peer communication systems for autonomous vehicles lack secure and efficient methods for transmitting and receiving geotagged and time-stamped data regarding vehicle positions, road conditions, and travel visibility over a secure network, which is essential for enhanced safety and route optimization.
Innovation Solution
A vehicular peer-to-peer communication system that gathers and shares geotagged, time-stamped data on vehicle telemetry and road conditions over a secure wireless network, enabling vehicles to transmit and receive this information to and from a private cloud, which can be used by drivers, automatic brake systems, or autonomous driving systems to control vehicle operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If peer-to-peer communication systems transmit geotagged and time-stamped data over a secure network, then safety and route optimization are enhanced, but system complexity and data security requirements increase
Solution Approach 1:
The communication system is segmented into multiple functional modules: data collection module that gathers geotagged and time-stamped information from sensors, data processing module that validates and formats the information, secure transmission module that encrypts and sends data over the network, and data reception module that processes incoming data. This segmentation reduces overall system complexity by making each module independent and manageable while maintaining reliable safety-critical communications.
Solution Approach 2:
A secure communication protocol acts as an intermediary layer between vehicles and the network infrastructure. This protocol handles encryption, authentication, and data validation, thereby enhancing safety without requiring complex security implementations in each individual vehicle system. The intermediary manages the complexity of secure data transmission centrally.
2Loss of information
If geotagged and time-stamped data is collected and shared among multiple vehicles, then road condition awareness is improved, but data transmission time and network bandwidth consumption increase
Solution Approach 1:
The system extracts and transmits only the most critical road condition information that has changed significantly, rather than continuously transmitting all sensor data. By identifying and extracting only relevant updates (such as sudden obstacles, rapid changes in road conditions, or critical safety information), the system maintains comprehensive road condition awareness while minimizing data transmission time and network bandwidth consumption.
Solution Approach 2:
Instead of continuous data transmission, the system employs periodic updates at optimized intervals. Vehicles transmit geotagged and time-stamped data at predetermined time intervals or when specific change thresholds are met, reducing overall transmission time while ensuring that road condition awareness remains current and useful for safety decisions.
3Reliability
If digital signature and encryption are applied to all transmitted data, then data security is enhanced, but processing time and computational energy consumption increase
Solution Approach 1:
Different levels of encryption and digital signature validation are applied to different types of data based on their security requirements. Critical safety-related data receives full cryptographic protection with digital signatures, while less sensitive telematics data uses lighter encryption or no encryption. This localized application of security measures enhances data security for critical information while reducing overall computational energy consumption across the system.
Solution Approach 2:
The system applies digital signatures and encryption selectively to only the portions of data that require high security, rather than uniformly encrypting all transmitted information. By performing partial cryptographic operations on critical data packets while using simpler transmission methods for other data, the system achieves enhanced data security where needed while minimizing computational energy consumption overall.
Data Source
AI summary
An autonomous vehicle and method for vehicle-to-vehicle communication is disclosed. The vehicle has a computer system capable of creating anonymous geotagged data and transmitting and receiving the geotagged data through a secured network for storage on a private cloud. The vehicle is equipped with a navigation system in communication with said computer and at least one sensor in communication with said computer system. The sensors are capable of creating data signals indicative of at least one of vehicle telemetry, travel visibility, and road conditions. The system includes a timer in communication with the computer system capable of creating a time stamp. The geotagged data can be used to control an automatic brake system and/or an autonomous driving system.