Dynamic Encoding Scheme Selection for Encrypted Data Storage
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Solution Overview
Problem
Database systems face storage challenges due to encrypted data often being longer than unencrypted text, exceeding size limits in columns designed for plaintext sizes, especially when handling multi-byte languages like Latin and Chinese.
Innovation Solution
An encryption platform dynamically selects the most efficient encoding scheme (such as UTF8 or UTF16) to encode plaintext into a byte array, encrypts it, and assigns encoding flags to ensure the encrypted data fits within storage constraints, allowing users to select encoding schemes for different fields and objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If text characters are encoded into a byte array prior to encryption, then the data can be encrypted, but the encrypted byte array becomes longer than the unencrypted text characters, exceeding storage size limits
Solution Approach 1:
The patent changes the encoding parameters by selecting different encoding schemes (UTF-8, UTF-16, GBK, etc.) based on the language characteristics of the plaintext. This parameter change allows the byte array to be more compact, reducing the size of encrypted data stored in the database while maintaining encryption capability.
Solution Approach 2:
The patent applies different encoding schemes to different language types locally. For example, UTF-8 is used for English text while GBK is used for Chinese text. This local quality approach ensures that each piece of data is encoded in the most space-efficient manner for its specific language, minimizing overall storage requirements.
2Ease of manufacture
If a fixed encoding scheme is used for all data, then the encoding process is simple, but the byte array size cannot be minimized for different language types
Solution Approach 1:
The patent introduces dynamic encoding scheme selection based on the language characteristics of the input text. The system automatically detects the language type and selects the appropriate encoding scheme, making the encoding process adaptive rather than static. This dynamic approach minimizes byte array size while maintaining ease of operation through automated detection.
Solution Approach 2:
The patent implements a feedback mechanism where the encoding scheme selection is based on analyzing the language characteristics of the plaintext. The system receives feedback about the text content and adjusts the encoding scheme accordingly, creating a closed-loop process that optimizes storage efficiency.
3Volume of stationary object
If the encrypted data size is reduced through encoding optimization, then storage efficiency improves, but the complexity of selecting and managing encoding schemes increases
Solution Approach 1:
The patent implements self-service encoding scheme selection where the system automatically detects the language type and chooses the appropriate encoding without requiring manual intervention. The encoding process serves itself by using the text content to determine the optimal encoding, reducing the perceived complexity for users.
Solution Approach 2:
The patent performs preliminary encoding scheme selection and optimization before the data is stored in the database. By pre-processing the data with the optimal encoding scheme before encryption and storage, the system eliminates the need for complex real-time encoding decisions during data retrieval and processing operations.
Data Source
AI summary
An encryption platform may identify language characters in database fields and determine which of multiple encoding schemes more efficiently encodes the language characters. The encryption platform may use the selected encoding scheme to encode plaintext into a byte array and then encrypt the byte array into ciphertext. The encryption platform may assign encoding flags to the ciphertext identifying the encoding scheme used for encoding the plaintext. The encryption platform then may use the encoding flag to determine which encoding schemes to use for decoding the data back into plaintext. Using the different encoding schemes allows encrypted data to fit better into database storage structures. The encryption platform also may enable users to select different fields for different selectable objects for encoding and encrypting.