A Data Indexing Method Based on Privacy Protection

A technology for data indexing and privacy protection, applied in the field of data indexing based on privacy protection, to achieve the effect of avoiding performance bottlenecks and high data availability

Active Publication Date: 2017-05-17
HUAZHONG UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, how to protect the privacy of user data while building an index, and how to provide query users with a privacy-based view of data release is still rarely studied.

Method used

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  • A Data Indexing Method Based on Privacy Protection
  • A Data Indexing Method Based on Privacy Protection
  • A Data Indexing Method Based on Privacy Protection

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Embodiment Construction

[0023] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific examples described here are only used to explain the present invention, not to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not constitute a conflict with each other.

[0024] figure 1 Shown is the frame diagram of the distributed index PR-CAN based on privacy protection in the present invention. The server nodes in the figure are divided into three types according to their functions: Master node, storage node and CAN node. The distributed storage system is composed of storage nodes. Each storage node is responsible for storing a part of the application data, an...

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Abstract

The invention discloses a data indexing method based on privacy protection and belongs to the technical field of data processing. The data indexing method based on privacy protection comprises the steps that an R-tree partitioning algorithm is provided, so that overlapping between any two leaf nodes is avoided, noise is independently added to each leaf node, and then a local index PR-tree meets the demand for differential privacy; for a part of selected PR-tree nodes, a mapping mechanism is adopted so that each PR-tree node can be mapped onto a corresponding CAN server, and then an overall index is established. By the adoption of the data indexing method based on privacy protection, the two-layer distributive index PR-CAN based on privacy protection is designed, and a range is provided for a user so that counting and query can be conducted; in this way, the user privacy security is effectively protected, the user query speed is increased, and the query throughput rate is increased; besides, all query users can have access to index data on a cloud platform, and therefore the data sharing degree is improved.

Description

technical field [0001] The invention belongs to the technical field of data processing, and more specifically relates to a data indexing method based on privacy protection. Background technique [0002] With the development of cloud computing applications, more and more researchers have paid more and more attention to privacy protection in cloud computing. At present, the privacy protection technology for query processing in cloud computing is mainly based on encryption. In many related studies, queryable encryption technology can effectively protect individual privacy through encryption, allowing users to safely query on ciphertext. The data published by the data owner to the cloud server is stored in an encrypted manner. The user's query is also encrypted in the same way, and the query request is sent to the cloud server for query processing, and finally the result is returned to the query user. However, encryption technology also has some disadvantages. For example, th...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
CPCG06F16/9027
Inventor 丁晓锋金海喻青徐慧
Owner HUAZHONG UNIV OF SCI & TECH
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