Transport Memory TTL Control for Critical Data Expiration
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Solution Overview
Problem
Current transportation systems lack efficient methods for managing and securing data related to vehicle operations and occupant information, particularly in terms of access control and data retention based on criticality, which can lead to security risks and inefficiencies.
Innovation Solution
A system that determines a portion of memory in a transport to store data, establishes a timeframe for access based on data type, and clears the data after the timeframe, with the length of the timeframe inversely proportional to the criticality of the data, using a processor to manage memory allocation and access control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in memory for extended periods, then data availability is improved, but security risk increases
Solution Approach 1:
The patent implements dynamic data retention by assigning different time-to-live (TTL) values to different data types based on their criticality. Critical data (e.g., safety information) is retained longer while non-critical data (e.g., entertainment preferences) is cleared after shorter periods. The system automatically adjusts storage duration based on data classification, resolving the contradiction between maintaining availability for needed data and reducing security exposure by clearing unnecessary data.
2Loss of information
If all data is retained indefinitely, then information completeness is improved, but memory resource consumption increases
Solution Approach 1:
The patent applies local quality by treating different portions of stored data differently based on their characteristics. Instead of uniform retention policies, the system classifies data into categories (critical, important, non-critical) and applies specific retention rules to each category. This allows the system to maintain complete information for critical data while automatically clearing non-critical data, optimizing memory usage without sacrificing essential information.
3Ease of operation
If access control timeframes are extended, then data accessibility is improved, but exposure risk increases
Solution Approach 1:
The patent implements preliminary action by pre-establishing access control timeframes and automatic clearance schedules before data exposure risks materialize. The system proactively sets TTL values for different data types and automatically clears data when timeframes expire, preventing unauthorized access rather than reacting to security incidents. This resolves the contradiction by ensuring data remains accessible during legitimate use periods while being automatically removed before exposure risks can occur.
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.