一种大数据双重同态编码的压缩和隐私保护方法、系统、设备和介质

The scheme designed using dual homomorphic coding theory supports direct data editing and analysis operations on compressed and encrypted data, solving the problems of high computational overhead and insufficient privacy protection in existing technologies, and achieving efficient data processing and improved storage utilization.

CN121834878BActive Publication Date: 2026-07-17RENMIN UNIVERSITY OF CHINA
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
RENMIN UNIVERSITY OF CHINA
Filing Date
2025-12-15
Publication Date
2026-07-17

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Abstract

本发明涉及一种大数据双重同态编码的压缩和隐私保护方法、系统、设备和介质，包括以下步骤：基于双重同态编码理论创建双重同态编码方案，并根据预设分类标准进行评估后分类存储在方案库中；从方案库中选择符合用户需求的目标双重同态编码方案对用户输入的原始数据进行压缩和加密，得到双重同态编码数据；将用户输入的数据分析或数据修改应用任务请求直接应用在双重同态编码数据上，得到双重同态编码形式的数据分析或数据修改结果；将数据分析或数据修改结果根据用户指定方式输出。本发明可以广泛应用于大数据处理与隐私保护技术领域。
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Citation Information

Patent Citations

  • Private information retrieval method based on homomorphic encryption

    CN118094615A

  • Strong fully homomorphic white-box and method for using same

    WO2021162931A1