一种数据脱敏方法、装置、可读存储介质以及电子设备

By deploying de-identification aspects in business applications, the problems of low data de-identification efficiency and poor flexibility in distributed cloud computing are solved, achieving efficient and flexible protection of sensitive data and reducing development and testing costs.

CN115185534BActive Publication Date: 2026-07-17ALIPAY (HANGZHOU) INFORMATION TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
Filing Date
2022-07-18
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In distributed cloud computing scenarios, existing data anonymization methods are inefficient and lack flexibility. Business applications in each application container require customized code modifications, resulting in high development and testing costs. Furthermore, code between different business systems and application containers is not reusable.

Method used

By employing secure aspect programming, de-identified aspects are deployed in business applications through an aspect base and dynamically injected at pointcuts to achieve de-identification of sensitive data, avoiding code modifications to the business applications.

Benefits of technology

It improves the efficiency and flexibility of data anonymization, reduces development and testing costs, and achieves secure protection of sensitive data.

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Abstract

本说明书公开了一种数据脱敏方法、装置、可读存储介质以及电子设备,根据接收到的脱敏请求,确定脱敏切面程序和脱敏切面程序对应的切点,并通过预先部署的切面底座,将脱敏切面程序部署在业务应用程序中的切点处,当业务应用程序执行业务时,通过脱敏切面程序,确定与敏感特征匹配的业务数据,并进行脱敏处理,其中,该与敏感特征匹配的业务数据中至少包含个人数据,该敏感特征至少可通过机器学习的方式得到。本方法无需对各业务应用程序进行个性化的代码改造,而是通过切面底座,在业务应用程序中注入通用的切面脱敏程序,从而将符合敏感特征的业务数据进行脱敏,以此来保证信息安全,提高了数据脱敏的效率和灵活性。
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