A Privacy-Preserving Task Assignment Method in Spatial Crowdsourcing

A task allocation algorithm and task allocation technology, applied in the field of task allocation of privacy protection in space crowdsourcing, can solve the problems of privacy protection model limited semi-trusted third-party security and computing overhead, and achieve high security and guarantee safety effect

Active Publication Date: 2021-10-01
SUZHOU UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] From the above analysis, it can be seen that the existing privacy protection model is mainly limited by the semi-trusted third party, security and computing overhead.

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  • A Privacy-Preserving Task Assignment Method in Spatial Crowdsourcing
  • A Privacy-Preserving Task Assignment Method in Spatial Crowdsourcing
  • A Privacy-Preserving Task Assignment Method in Spatial Crowdsourcing

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Embodiment Construction

[0042] The technical solutions in the embodiments of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0043] Such as Figure 1-2 As shown, embodiments of the present invention include:

[0044] The present invention provides a privacy-protected task allocation method in space crowdsourcing, which uses an anonymous data collection protocol to ensure the security of worker location privacy, and uses a reverse auction-based task allocation algorithm to ensure worker honesty. Based on a semi-trusted third party, this method has high security and high space-time efficiency. It has a wide range of applications in the field of spatial crowdso...

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Abstract

The invention discloses a task assignment method for privacy protection in space crowdsourcing, involving three entities, including space crowdsourcing platform, agents and workers, using an anonymous data collection protocol to safely send user data to space crowdsourcing Platform; use the reverse auction-based task allocation algorithm to help the spatial crowdsourcing platform generate task allocation and reward reward schemes, and ensure the honesty of users. Through the above method, the privacy-protected task allocation method in space crowdsourcing provided by the present invention uses an anonymous data collection protocol to ensure the security of worker location data, and uses a reverse auction-based task allocation algorithm to ensure the honesty of workers , is based on a semi-trusted model, has the advantages of high security and high efficiency, and has an extremely bright application prospect in the field of spatial crowdsourcing.

Description

technical field [0001] The invention relates to the fields of spatial crowdsourcing, spatiotemporal data processing and mobile computing, and in particular to a task assignment method for privacy protection in spatial crowdsourcing. Background technique [0002] In recent years, a new mode of solving work problems that are difficult for computers to complete alone by integrating the labor force of the network platform - Crowdsourcing (Crowdsourcing) has received extensive attention from industry and academia. The so-called crowdsourcing usually refers to "a distributed problem-solving model that outsources the work tasks performed by full-time employees in the past to non-specific solution provider groups in a voluntary form through an open Web platform." As the embodiment of "group wisdom", crowdsourcing has a wide range of application scenarios and markets. For example, early crowdsourcing platforms usually refer to "question answering system" platforms, such as Wikipedia...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/62H04L9/08H04L29/06
CPCG06F21/6209H04L9/0869H04L63/0428H04L69/22
Inventor 刘安张亚男翟东君彭伟李直旭
Owner SUZHOU UNIV
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