Data Segment Rearrangement Using Human-Dependent Variables
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Solution Overview
Problem
Current methods for verifying data authenticity during transfer and storage lack effective mechanisms to ensure the integrity and uniqueness of digital content, particularly in scenarios involving human-dependent variables.
Innovation Solution
A method and system that rearrange data segments based on human-dependent variables, such as biometric and activity-related data, and log these rearrangements to enable secure retrieval and authentication of digital content, using a combination of computing units and logging mechanisms for verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in traditional formats, then retrieval is simple and fast, but data authenticity and integrity cannot be verified
Solution Approach 1:
The patent segments data into multiple data segments and creates corresponding rearrangement information for each segment. This segmentation allows the system to verify data authenticity through multiple independent verification points, enhancing reliability while managing complexity through modular organization of verification components.
Solution Approach 2:
The patent performs preliminary rearrangement of data segments based on human-dependent variables before storage or transmission. This preliminary action creates a verified baseline state that can be compared against future states to detect unauthorized modifications, thereby establishing authenticity verification capability in advance.
2Reliability
If data is rearranged based on human-dependent variables, then data authenticity is enhanced, but retrieval complexity increases
Solution Approach 1:
The patent introduces rearrangement information as an intermediary element that bridges the rearranged data segments and the original data structure. This intermediary contains the necessary instructions to reverse the rearrangement process, making retrieval easier despite the complex rearrangement applied to the data.
Solution Approach 2:
The patent creates copies of rearrangement information that are stored separately from the rearranged data segments. These copies serve as verification keys that can be used independently to authenticate data without requiring access to the original unarranged data, simplifying the retrieval and verification process.
3Reliability
If multiple data segments are created and distributed, then data security is improved, but system coordination complexity increases
Solution Approach 1:
The patent creates rearrangement information that serves multiple functions: it acts as verification data for authenticity, as instructions for data reassembly, and as a key for detecting unauthorized modifications. This multi-functionality reduces the need for separate coordination mechanisms for each function, simplifying system coordination while maintaining security.
4Measurement precision
If human-dependent variables are used for data rearrangement, then authentication capability is enhanced, but processing time increases
Solution Approach 1:
The patent uses human-dependent variables such as keystroke dynamics or mouse movement patterns, which naturally occur during user interaction without requiring additional time investment from the user. The system captures partial behavioral characteristics that are sufficient for authentication, avoiding excessive data collection while maintaining high authentication accuracy.
Data Source
AI summary
A method for rearranging a data segment. The method comprises providing a data segment containing digital content, generating a set of human dependent variables according to a plurality of human related activities, rearranging the data segment according to the set of human dependent variables, and updating a log according to the rearranging. The digital content may be retrieved from the rearranged data segment according to the log.