Decentralized privacy preserving reputation evaluation method for crowd sensing

A crowd-sensing, decentralized technology, applied in digital data protection, instruments, calculations, etc., can solve problems that are difficult to establish, do not consider privacy protection requirements, and achieve the effect of preventing association

Pending Publication Date: 2022-04-22
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it does not consider how to allow data demanders to accurately assess the user's reputation without undermining privacy protection requirements
At the same time, the existing reputation mechanism that can protect user privacy is usually set up in a trusted third party, which mana

Method used

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  • Decentralized privacy preserving reputation evaluation method for crowd sensing
  • Decentralized privacy preserving reputation evaluation method for crowd sensing
  • Decentralized privacy preserving reputation evaluation method for crowd sensing

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Embodiment Construction

[0020] 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. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0021] Such as figure 1 As shown, a decentralized privacy-preserving reputation evaluation method for crowd-sensing includes the following steps:

[0022] Step A: Release the perception task.

[0023] The data demander publishes information about the sensing task on the blockchain, including the task name, the type of data required, the task end time, location requirements, and the maximum reward that the data demander is willing to pay to a user.

[0024] Step B: Authenticate user identity.

[0025] Users who intend to participate in the task determine their own pseudonym and request the authentication center ...

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Abstract

The invention relates to a crowd sensing-oriented decentration privacy preservation reputation evaluation method, and belongs to the technical field of network data processing. According to the method, a reputation evaluation mechanism which can keep anonymity and can prevent a person from randomly modifying a reputation value is constructed by utilizing blind signature and ring signature technologies based on a crowd sensing scene of a block chain. Wherein the real identity of the user participating in the crowd sensing task is hidden by means of the anonymity of the block chain account, and the data demander issuing the sensing task scores the user according to the quality of the data provided by the user and issues the score on the block chain in a transaction form. A user who participates in a sensing task for multiple times allows to create a plurality of accounts, and secret transfer of a reputation value among different accounts is realized by using technologies such as ring signature and the like, so that inference attacks from a data demander are resisted. According to the identity authentication method and device, the relevance between the user account and the real identity of the user can be hidden, and the identity authentication of the user white washing attack can be resisted.

Description

technical field [0001] The invention relates to a reputation evaluation method for privacy preservation, in particular to a decentralized privacy preservation reputation evaluation method oriented to group intelligence, and belongs to the technical field of network data processing. Background technique [0002] In many data sharing scenarios, data demanders only need to obtain the data of the data owner, and do not need to know the real identity of the data owner. If data demanders need to use data from multiple data owners to complete specific analysis and computing tasks, they can usually use crowd sensing to collect data. [0003] In the application of crowd sensing, the data owners who participate in the sensing task usually share the real data directly with the data demanders, otherwise, the data demanders will not be able to obtain correct analysis results. At the same time, considering that data demanders do not need to know the real identity of the data owner, the d...

Claims

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Application Information

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IPC IPC(8): G06F21/57G06F21/62
CPCG06F21/577G06F21/6245
Inventor 徐蕾肖尧陈子康祝烈煌
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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