Timestamped Storage Compartments for Data Integrity
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Solution Overview
Problem
Current data capture and transfer systems lack reliability, as they are susceptible to hacking, corruption, and data integrity issues, particularly in industries like healthcare and finance, where continuous monitoring and secure data storage are critical.
Innovation Solution
A system utilizing externally powered RFID tags with a microprocessing unit and a voltage regulator, which captures and transfers data in a controlled manner, ensuring data integrity through timestamped storage and multiparty encryption, and includes continuous monitoring and self-checking mechanisms to prevent unauthorized access and ensure data accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional data capture and transfer systems are used, then data transfer functionality is provided, but data reliability and integrity deteriorate due to susceptibility to hacking, viruses, and corruption
Solution Approach 1:
The system performs preliminary actions by establishing predetermined time periods and storage capacities before data transfer occurs. The database is pre-configured with time-stamped storage slots that correspond to specific time periods, and data packets are validated against these pre-established parameters before acceptance, preventing corrupted or unauthorized data from being stored.
Solution Approach 2:
The system implements continuous feedback mechanisms where the database monitors incoming data packets against predetermined time periods and storage capacities. Any deviation from expected parameters triggers an automatic quarantine response, and the system provides continuous verification that data integrity requirements are met throughout the transfer process.
2Reliability
If data is transferred without time-based validation, then transfer speed is improved, but data integrity deteriorates due to inability to detect corrupted or unauthorized data
Solution Approach 1:
The system performs preliminary action by pre-establishing time periods and storage capacities in the database before data transfer begins. This allows for rapid validation during transfer, as the system simply checks whether incoming data fits within pre-defined temporal and capacity boundaries, rather than performing complex analysis in real-time.
3Reliability
If storage capacity is not predetermined, then storage flexibility is improved, but data integrity deteriorates due to inability to verify data packet completeness and timing
Solution Approach 1:
The system applies segmentation by dividing storage capacity into discrete, time-bound compartments. Each time period has a predetermined storage capacity allocated to it, creating naturally segmented storage regions that automatically verify data packet completeness. This segmentation simplifies management by providing clear boundaries and eliminating the need for complex dynamic allocation algorithms.
Data Source
AI summary
Provided herein is a system involving the utilization of a low-power device that is programmed to capture data from a source, whether from a sensor or other type of data generating component, with the data capture and/or further data transfer set within a specific time period and further data storage platform having programmed storage compartments uniformly set to meet the exact date and time for which the data capture and/or transfer was initially undertaken. Having a known value of storage capacity for each timed data packet in this manner, the ability to ensure veracity of the transferred data is provided since any result that does not meet the time frame and thus the storage capacity set from the programmed platform itself will result in a quarantine of any problematic data packet, thus allowing for filtering and review of any unexpected data captured and transferred in such a manner.