Privacy protection method for data integration of DaaS application

A technology of privacy protection and data integration, applied in the field of privacy protection

Pending Publication Date: 2020-03-06
INST OF ELECTRONICS & INFORMATION ENG OF UESTC IN GUANGDONG +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

By defining confidentiality restrictions and attribute visibility requests, the data set is divided and group anonymity is used to protect data privacy, but application domain experts are required to establish attribute constraint rule sets in advance

Method used

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  • Privacy protection method for data integration of DaaS application
  • Privacy protection method for data integration of DaaS application
  • Privacy protection method for data integration of DaaS application

Examples

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Embodiment Construction

[0028] Certain terms are used, for example, in the description and claims to refer to particular components. Those skilled in the art should understand that hardware manufacturers may use different terms to refer to the same component. The specification and claims do not use the difference in name as a way to distinguish components, but use the difference in function of components as a criterion for distinguishing. As mentioned throughout the specification and claims, "comprising" is an open term, so it should be interpreted as "including but not limited to". "Approximately" means that within an acceptable error range, those skilled in the art can solve technical problems within a certain error range and basically achieve technical effects.

[0029] In the description of the present invention, it should be understood that the orientation or positional relationship indicated by the terms "upper", "lower", "front", "rear", "left", "right", horizontal" etc. are based on the draw...

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Abstract

The invention discloses a privacy protection method for data integration of a DaaS application, and the method comprises the following steps: 1, carrying out the multi-round cooperation among tenantsunder the condition that the anonymity of data is met, and each round employing an attribute plus a fine data set with the maximum information gain; 2, setting reputation levels of the cloud service providers, and dividing the cloud service providers according to the reputation levels; 3, for the cloud service providers with the reputation levels lower than the preset reputation level, using a privacy protection mechanism based on segmentation, hiding the incidence relation between data, ensuring value domain equilibrium distribution of attributes in a grouping equalization mode, and preventing the cloud service providers from leaking data privacy of tenants; and for the cloud service providers higher than the preset reputation level, verifying correctness and integrity of data returned bythe cloud service providers by adopting a classification index tree data structure. According to the method, through a classification index tree data structure, the cloud tenants have the capabilityof verifying the correctness and integrity of a result set returned by the cloud service provider.

Description

technical field [0001] The invention belongs to the technical field of privacy protection, and in particular relates to a privacy protection method for data integration of DaaS applications. Background technique [0002] In the current business environment, data sharing among various departments within an enterprise or government agency, or even between different enterprises and different functional organizations, has become a basic requirement for making decisions and providing users with high-quality services. Multiple data owners need to cooperate with each other Integrate each other's data for data sharing. In this process, there are two problems that need to be solved urgently: (1) the storage, maintenance and statistical analysis of the fused data may exceed the load of the existing equipment; (2) the fused data contains richer knowledge, and the attacker The private data in it may be derived accordingly. Therefore, when data is fused from multiple sources, each data...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F21/62G06F21/64
CPCG06F21/6245G06F21/6227G06F21/64G06F2221/2107
Inventor 张宏莉周志刚张羽高阳王星于海宁方滨兴刘妙玲孙燕
Owner INST OF ELECTRONICS & INFORMATION ENG OF UESTC IN GUANGDONG
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