Vehicle Memory Expiration Using Criticality-Based Hardware Timers
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Solution Overview
Problem
Current systems lack an efficient method to manage and secure data access in vehicles, particularly in relation to the criticality of data types, which can lead to security risks due to prolonged data exposure and unauthorized access.
Innovation Solution
A method and system that determine a portion of memory in a vehicle to store data based on its type, establish a timeframe for access inversely proportional to the data's criticality, and clear the data after the timeframe, using a hardware timer to ensure secure data handling and access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If data is stored in memory for extended periods, then data availability is improved, but security risk increases due to prolonged exposure
Solution Approach 1:
The patent implements dynamic data retention by assigning different time-to-live (TTL) values to data based on its criticality level. Critical data is automatically deleted after a predetermined timeframe using a hardware timer, while non-critical data retains longer. This dynamic approach resolves the contradiction by making data availability period adaptable rather than static, allowing the system to maintain data only as long as necessary while minimizing security exposure.
Solution Approach 2:
The system changes the temporal parameter of data storage by implementing variable retention periods based on data classification. The hardware timer mechanism alters the default persistent storage behavior by introducing automatic deletion at predetermined timepoints, thereby controlling the duration of data exposure and reducing security risks associated with prolonged data availability.
2Ease of operation
If all data is retained indefinitely, then data accessibility is improved, but memory resource consumption increases
Solution Approach 1:
The patent implements automatic data discarding based on predetermined timeframes and criticality levels. When the hardware timer expires, data is deleted from memory and the memory resources are recovered for reuse. This resolves the contradiction by systematically discarding data that is no longer needed (based on its age and criticality), thereby freeing memory resources while maintaining accessibility of currently needed data.
Solution Approach 2:
The system dynamically manages memory resources by implementing time-based data expiration. Rather than statically allocating memory for all data indefinitely, the system continuously evaluates data age and criticality, automatically releasing memory for expired data while retaining memory for active data, thus optimizing both accessibility and resource utilization.
3Reliability
If data access is restricted by timeframe, then security is improved, but data utility decreases
Solution Approach 1:
The patent applies different security restrictions (timeframe limits) to different portions of data based on their criticality levels. Critical data receives stricter controls with automatic deletion after predetermined timeframes, while non-critical data maintains longer availability. This local differentiation resolves the contradiction by applying security measures only where necessary, thereby maintaining data utility for non-critical information while ensuring security for critical data.
Solution Approach 2:
The system changes the accessibility parameter of data based on its criticality classification. By assigning different time-to-live values to different data types, the system optimizes the balance between security and utility: critical data has shorter retention periods for enhanced security, while non-critical data maintains longer availability for sustained utility, thus resolving the trade-off through parameter differentiation.
Data Source
AI summary
An example operation includes one or more of determining a portion of memory in a transport to store data, establishing a timeframe when the data may be accessed based on a type of the data, and clearing the data from the portion of memory after the timeframe. The type of the data may be related to one or more of the transport and an occupant of the transport. A length of the timeframe is inversely proportional to a criticality of the type of the data.