User Information Processing via Placeholder Mapping
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Solution Overview
Problem
Existing user information processing methods in big data environments face inefficiencies in data processing, storage security, and key management, leading to low data processing efficiency and high costs.
Innovation Solution
A user information processing method and apparatus that involves obtaining user information, generating placeholders, and storing correspondences between placeholders and ciphertext in a user mapping table, allowing for pseudonymization and efficient processing of user information without the need for extensive node processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If user information is encrypted and stored in distributed nodes, then storage security is improved, but data processing efficiency deteriorates due to the need to retrieve and process data in all nodes
Solution Approach 1:
The patent introduces a mapping table as an intermediary component that stores the correspondence between user identifiers and their encrypted data locations. This mapping table acts as a mediator that enables efficient data retrieval without requiring full scans of all distributed nodes, thus resolving the contradiction between security (encryption) and processing efficiency.
2Reliability
If all user information is deleted from all nodes, then data deletion completeness is improved, but system time and processing overhead increase significantly
Solution Approach 1:
The patent extracts the user identifier mapping information from the distributed data nodes and集中 stores it in a separate mapping table. When deletion is required, only the mapping table needs to be updated to remove the reference to the encrypted data, rather than physically deleting data from all nodes. This extraction principle dramatically reduces the time and overhead for deletion operations while maintaining completeness.
3Adaptability or versatility
If a key is maintained for each user, then key management flexibility is improved, but key management costs and complexity increase
Solution Approach 1:
The patent implements a universal encryption key that is used across all users and data, rather than maintaining separate keys for each user. The mapping table structure provides the necessary flexibility for key management by allowing centralized control and updates. This universality principle reduces key management complexity and costs while maintaining adequate security and flexibility through the mapping table's ability to track and manage encrypted data references.
Data Source
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AI summary
A user information processing method and apparatus are disclosed. The method includes: obtaining user information of a user (S101), where the user information includes a user identifier and user data; generating a placeholder (S102); storing a correspondence between the placeholder and ciphertext of the user identifier in a user mapping table (S103), where the ciphertext of the user identifier is obtained by encrypting the user identifier by using a key; pseudonymizing the user information, to obtain pseudonymized user information (S104), where the pseudonymizing the user information includes replacing the user identifier in the user information with the placeholder; and storing the pseudonymized user information in at least one node (S105). The correspondence between the placeholder and the ciphertext of the user identifier is stored in the user mapping table, and the user information in the node is pseudonymized, so that all subsequent operations on the user information can be performed in the user mapping table, and there is no need to perform processing in the node, thereby implementing simpler, more efficient, securer, and more reliable processing of the user information.